All The Claims

1. A computer-implemented method, comprising:
receiving, for each of a plurality of target documents that a search engine has identified in response to a query, an address of the target document, the target document including query-relevant text at an intra-document portion of the target document;
for each address of a target document:
generating an artificial anchor, the artificial anchor corresponding to the intra-document portion of the target document and undefined in the target document;
appending the artificial anchor to the address of the target document; and

providing, to a client device, a plurality of search results, wherein each of the search results identifies a target document and includes the address of the target document appended with the artificial anchor as a search result link to the target document.
2. The method of claim 1, wherein the artificial anchor comprises an instruction for an artificial anchor module in a document browser on the client device to navigate directly to the intra-document portion of the target document when the target document is displayed on the client device.
3. The method of claim 1, wherein:
the address of the target document comprises a uniform resource locator that specifies the location of the target document; and
appending the artificial anchor to the address comprises appending the artificial anchor to the uniform resource locator.
4. The method of claim 1, wherein the artificial anchor includes a preassigned artificial anchor designator designating the artificial anchor to an artificial anchor module in the client device.
5. The method of claim 4, wherein the artificial anchor includes the preassigned artificial anchor designator as either a prefix or a suffix and wherein the preassigned artificial anchor designator includes a preassigned set of text characters.
6. The method of claim 1, wherein the artificial anchor includes query-relevant text from the intra-document portion of the target document.
7. The method of claim 1, wherein each search result that identifies a target document includes:
a search result document link to a top of a corresponding target document, the search result document link including the address of the target document; and
an active snippet link to the intra-document portion of the target document, the active snippet link including a query-relevant snippet, the query-relevant snippet being text extracted from query-relevant text, the active snippet link including the address of the target document appended with the artificial anchor.
8. The method of claim 1, wherein:
the artificial anchor comprises an instruction for an artificial anchor module in a document browser on the client device to navigate directly to the intra-document portion of the target document when the target document is displayed on the client device, and the artificial anchor includes query relevant text from the intra-document portion of the target document and a preassigned artificial anchor designator designating the artificial anchor to the artificial anchor module in the client device, the preassigned artificial anchor designator being one of either a prefix or a suffix and includes a preassigned set of text characters, and the artificial anchor is undefined in the target document; and
appending the artificial anchor comprises appending the artificial anchor to a uniform resource locator that specifies the location of the target document.
9. The method of claim 8, wherein each search result that identifies a target document includes:
a search result document link to a top of a corresponding target document, the search result document link including the address of the target document; and
an active snippet link to the intra-document portion of the target document, the active snippet link including a query-relevant snippet, the query-relevant snippet being text extracted from query-relevant text, the active snippet link including the address of the target document appended with the artificial anchor.
10. A computer program product embodied on a non-transitory computer-readable medium, the computer program product including instructions, which when executed by a computer system, are operable to cause the computer system to perform acts comprising:
receiving, for each of a plurality of target documents that a search engine has identified in response to a query, an address of the target document, the target document including query- relevant text at an intra-document portion of the target document;
for each address of a target document:
generating an artificial anchor, the artificial anchor corresponding to the intra-document portion of the target document and undefined in the target document;
appending the artificial anchor to the address of the target document; and

providing, to a client device, a plurality of search results, wherein each of the search results identifies a target document and includes the address of the target document appended with the artificial anchor as a search result link to the target document.
11. The computer program product of claim 10, wherein the artificial anchor comprises an instruction for an artificial anchor module in a document browser on the client device to navigate directly to the intra-document portion of the target document when the target document is displayed on the client device.
12. The computer program product of claim 10, wherein:
the address of the target document comprises a uniform resource locator that specifies the location of the target document; and
appending the artificial anchor to the address comprises appending the artificial anchor to the uniform resource locator.
13. The computer program product of claim 10, wherein the artificial anchor includes a preassigned artificial anchor designator designating the artificial anchor to an artificial anchor module in the client device.
14. The computer program product of claim 13, wherein the artificial anchor includes the preassigned artificial anchor designator as either a prefix or a suffix and wherein the preassigned artificial anchor designator includes a preassigned set of text characters.
15. The computer program product of claim 10, wherein the artificial anchor includes query-relevant text from the intra-document portion of the target document.
16. The computer program product of claim 10, wherein each search result that identifies a target document includes:
a search result document link to a top of a corresponding target document, the search result document link including the address of the target document; and
an active snippet link to the intra-document portion of the target document, the active snippet link including a query-relevant snippet, the query-relevant snippet being text extracted from query-relevant text, the active snippet link including the address of the target document appended with the artificial anchor.
17. The computer program product of claim 10, wherein:
the artificial anchor comprises an instruction for an artificial anchor module in a document browser on the client device to navigate directly to the intra-document portion of the target document when the target document is displayed on the client device, and the artificial anchor includes query relevant text from the intra-document portion of the target document and a preassigned artificial anchor designator designating the artificial anchor to the artificial anchor module in the client device, the preassigned artificial anchor designator being one of either a prefix or a suffix and includes a preassigned set of text characters, and the artificial anchor is undefined in the target document; and
appending the artificial anchor comprises appending the artificial anchor to a uniform resource locator that specifies the location of the target document.
18. The computer program product of claim 17, wherein each search result that identifies a target document includes:
a search result document link to a top of a corresponding target document, the search result document link including the address of the target document; and
an active snippet link to the intra-document portion of the target document, the active snippet link including a query-relevant snippet, the query-relevant snippet being text extracted from query-relevant text, the active snippet link including the address of the target document appended with the artificial anchor.
19. A system, comprising:
one or more computers; and
software stored in a memory device in data communication with the one or more computers, the software including instructions executable by the one or more computers and upon such execution cause the one or more computers to perform operations comprising:
receiving, for each of a plurality of target documents that a search engine has identified in response to a query, an address of the target document, the target document including query-relevant text at an intra-document portion of the target document;
for each address of a target document:
generating an artificial anchor, the artificial anchor corresponding to the intra-document portion of the target document and undefined in the target document;
appending the artificial anchor to the address of the target document; and

providing, to a client device, a plurality of search results, wherein each of the search results identifies a target document and includes the address of the target document appended with the artificial anchor as a search result link to the target document.
20. The system of claim 19, wherein the artificial anchor comprises an instruction for an artificial anchor module in a document browser on the client device to navigate directly to the intra-document portion of the target document when the target document is displayed on the client device.
21. The system of claim 19, wherein:
the address of the target document comprises a uniform resource locator that specifies the location of the target document; and
appending the artificial anchor to the address comprises appending the artificial anchor to the uniform resource locator.
22. The system of claim 19, wherein the artificial anchor includes a preassigned artificial anchor designator designating the artificial anchor to an artificial anchor module in the client device.
23. The system of claim 22, wherein the artificial anchor includes the preassigned artificial anchor designator as either a prefix or a suffix and wherein the preassigned artificial anchor designator includes a preassigned set of text characters.
24. The system of claim 19, wherein the artificial anchor includes query-relevant text from the intra-document portion of the target document.
25. The system of claim 19, wherein each search result that identifies a target document includes:
a search result document link to a top of a corresponding target document, the search result document link including the address of the target document; and
an active snippet link to the intra-document portion of the target document, the active snippet link including a query-relevant snippet, the query-relevant snippet being text extracted from query-relevant text, the active snippet link including the address of the target document appended with the artificial anchor.
26. The system of claim 19, wherein:
the artificial anchor comprises an instruction for an artificial anchor module in a document browser on a client device to navigate directly to the intra-document portion of the target document when the target document is displayed on the client device, and the artificial anchor includes query relevant text from the intra-document portion of the target document and a preassigned artificial anchor designator designating the artificial anchor to the artificial anchor module in the client device, the preassigned artificial anchor designator being one of either a prefix or a suffix and includes a preassigned set of text characters, and the artificial anchor is undefined in the target document; and
appending the artificial anchor comprises appending the artificial anchor to a uniform resource locator that specifies the location of the target document.
27. The system of claim 26, wherein each search result that identifies a target document includes:
a search result document link to a top of a corresponding target document, the search result document link including the address of the target document; and
an active snippet link to the intra-document portion of the target document, the active snippet link including a query-relevant snippet, the query-relevant snippet being text extracted from query-relevant text, the active snippet link including the address of the target document appended with the artificial anchor.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1. A method for thermal-based laser processing a multi-material device including a substrate and a microstructure, the method comprising:
generating two or more laser pulses having at least one predetermined characteristic based on a differential thermal property of materials of the device; and
irradiating the microstructure with the two or more laser pulses wherein a first pulse increases a difference in temperature between the substrate and the microstructure and wherein a second pulse further increases the difference in temperature between the substrate and the microstructure to process the multi-material device without damaging the substrate;
wherein the pulses are spaced such that the temperature of the substrate decays rapidly and stabilizes during a time between irradiation of the microstructure with a pair of pulses of said two or more laser pulses, and wherein the two or more pulses irradiate the microstructure during relative motion between the microstructure and a laser beam path associated with the pulses.
2. The method as claimed in claim 1 wherein the first pulse increases the temperature of the microstructure.
3. The method as claimed in claim 2 wherein the second pulse further increases the temperature of the microstructure.
4. The method as claimed in claim 1 wherein at least one pulse has a rise time of less than two nanoseconds.
5. The method as claimed in claim 4 wherein the rise time is less than one nanosecond.
6. The method as claimed in claim 1 wherein the first and second pulses are sufficient to remove the microstructure.
7. The method as claimed in claim 1 wherein the microstructure is a metal link having reflectivity and wherein the leading edge of at least one pulse reduces the reflectivity of the metal link.
8. The method as claimed in claim 7 wherein the substrate is silicon and the device is a semiconductor memory.
9. The method of claim 1 wherein the difference in temperature between the substrate and the microstructure increases during the time between irradiation of the microstructure with the first and second pulses.
10. The method of claim 1 wherein the first and second pulses are separated by between 8 and 20 nanoseconds.
11. A system for thermal-based laser processing a multi-material device including a substrate and a microstructure, the system comprising:
means for generating two or more laser pulses having at least one predetermined characteristic based on a differential thermal property of materials of the device; and
means for irradiating the microstructure with the two or more laser pulses wherein a first pulse increases a difference in temperature between the substrate and the microstructure and wherein a second pulse further increases the difference in temperature between the substrate and the microstructure to process the multi-material device without damaging the substrate;
wherein the temperature of the substrate decays rapidly and stabilizes during the time between irradiation of the microstructure with a pair of pulses of said two or more laser pulses, and wherein the two or more pulses irradiate the microstructure during relative motion between the microstructure and a laser beam path associated with the pulses.
12. The system as claimed in claim 11 wherein the first pulse increases the temperature of the microstructure.
13. The system as claimed in claim 12 wherein the second pulse further increases the temperature of the microstructure.
14. The system as claimed in claim 11 wherein at least one pulse has a rise time of less than two nanoseconds.
15. The system as claimed in claim 14 wherein the rise time is less than one nanosecond.
16. The system as claimed in claim 11 wherein the first and second pulses are sufficient to remove the microstructure.
17. The system as claimed in claim 11 wherein the microstructure is a metal link having reflectivity and wherein the leading edge of at least one pulse reduces the reflectivity of the metal link.
18. The system as claimed in claim 17 wherein the substrate is silicon and the device is a semiconductor memory.
19. The system of claim 11 wherein the difference in temperature between the substrate and the microstructure increases during the time between irradiation of the microstructure with the first and second pulses.
20. The system of claim 11 wherein the first and second pulses are separated by between 8 and 20 nanoseconds.

1. A method of determining received signal impairment correlations for use in received signal processing, the method comprising:
providing a model of received signal impairment correlations comprising one or more impairment terms scaled by corresponding model fitting parameters; and
adapting each of the model fitting parameters responsive to recurring measurements of the received signal impairment correlations.
2. The method of claim 1, wherein providing a model of received signal impairment correlations comprising one or more impairment terms scaled by corresponding model fitting parameters comprises providing a model that at least includes an interference impairment term scaled by a first fitting parameter and a noise impairment term scaled by a second fitting parameter.
3. The method of claim 2, wherein adapting each of the model fitting parameters responsive to recurring measurements of the received signal impairment correlations comprises measuring received signal impairment correlations at each of one or more successive time instants and fitting the model to measured received signal impairment correlations by adapting values of the first and second fitting parameters.
4. The method of claim 3, wherein adapting each of the model fitting parameters responsive to recurring measurements of the received signal impairment correlations comprises, for fitting the model, determining the model fitting parameters as instantaneous fitting values or as filtered values obtained from successively determined instantaneous fitting values.
5. The method of claim 4, wherein a received signal being processed comprises a Wideband Code Division Multiple Access (WCDMA) signal, and wherein the model fitting parameters are adapted at successive time instants corresponding to WCMDA signal timeslots.
6. The method of claim 2, further comprising initializing the model by setting the first fitting parameter to zero and setting the second fitting parameter to a positive value.
7. The method of claim 1, wherein providing a model of received signal impairment correlations comprises one of providing a combined model of received signal impairment correlations for two or more received signals of interest, or providing a model of received signal impairment correlations for each of two or more received signals of interest.
8. The method of claim 1, wherein a received signal being processed comprises a wireless communication network signal, and wherein providing the model of received signal impairment correlations comprises providing a model that includes two or more of a same-cell interference impairment term scaled by a first fitting parameter, a noise impairment term scaled by a second fitting parameter, and an other-cell interference impairment term scaled by a third fitting parameter.
9. The method of claim 1, wherein providing a model of received signal impairment correlations comprises providing an interference correlation matrix scaled by a first model fitting parameter and a noise correlation matrix scaled by a second model fitting parameter, and wherein elements of the interference correlation in the model are determined from channel estimates corresponding to one or more received signals of interest.
10. The method of claim 9, wherein adapting the model responsive to recurring measurements comprises computing a plurality of channel estimates over each one of repeating time slots, measuring impairment correlations from the channel estimates, and calculating updated model fitting parameters for each slot based on the measured impairment correlations.
11. The method of claim 10, wherein measuring impairment correlations from the channel estimates includes varying a channel estimate across each slot such that measurements of the impairment correlations taken across the slot reflect changing fading conditions.
12. The method of claim 11, wherein varying a channel estimate across each slot comprises interpolating channel measurements across the slot such that a channel estimate value is a function of relative positioning within the slot.
13. The method of claim 12, wherein, for processing received Wideband Code Division Multiple Access (WCDMA) signals, interpolating channel estimates is based on a first number of pilot symbols received per slot for non-transmit diversity reception, and is based on a second number of pilot symbols received per slot for transmit diversity reception.
14. The method of claim 10, wherein calculating the second model fitting parameter for each time slot comprises summing selected diagonal elements of a measured impairment correlation matrix obtained by measuring impairment correlations for a received signal, and subtracting components from the summed diagonal elements to obtain an estimate of noise power.
15. The method of claim 14, wherein summing selected diagonal elements of a measured impairment correlation matrix obtained by measuring the impairment correlations, and subtracting components from the summed diagonal elements to obtain an estimate of noise power comprises summing main diagonal elements corresponding to on-path RAKE fingers and subtracting a second value determined by summing main diagonal elements corresponding to off-path RAKE fingers.
16. The method of claim 14, wherein calculating the first model fitting parameter for each time slot comprises summing differences between the measured impairment correlations and modeled impairment correlations as scaled by a function of the second model fitting parameter.
17. The method of claim 16, wherein summing differences between the measured impairment correlations and modeled impairment correlations as scaled by a function of the second model fitting parameter comprises summing differences between diagonal elements of a measured impairment correlation matrix and a modeled impairment correlation matrix included in the model.
18. The method of claim 16, further comprising setting a scaling of the second model fitting parameter to emphasize modeled noise components.
19. The method of claim 10, wherein calculating updated model fitting parameters for each slot based on the measured impairment correlations comprises performing a least squares fit of the model fitting parameters to make the weighted sum of modeled interference and noise correlation matrices substantially match the measured impairment correlations.
20. The method of claim 1, further comprising maintaining different state values for one or more of the model fitting parameters, so that scaling of the corresponding impairment terms is state dependent.
21. The method of claim 20, wherein the model includes an interference impairment term scaled by a first model fitting parameter, and wherein a received signal being processed comprises a Wideband Code Division Multiple Access (WCDMA) signal transmitted from a WCDMA base station having a first state wherein it actively transmits a High Speed Downlink Shared Channel (HS-DSCH) signal, and an inactive state wherein it does not actively transmit the HS-DSCH signal, and wherein maintaining different state values for one or more of the model fitting parameters comprises maintaining first and second state values for the first model fitting parameter corresponding to the active and inactive states of the HS-DSCH signal.
22. The method of claim 21, further comprising selecting one of the state values for the first model fitting parameter based on one of receiving control information from the base station, or blindly estimating the base station state.
23. The method of claim 1, wherein providing a model of received signal impairment correlations comprising one or more impairment terms scaled by corresponding model fitting parameters comprises modeling the received signal impairment correlations as a first interference covariance matrix scaled by a first model fitting parameter, a second interference covariance matrix scaled by a second model fitting parameter, and a noise covariance matrix scaled by a third model fitting parameter.
24. The method of claim 23, further comprising providing a first model for a first received signal of interest, and providing a second model for a second received signal of interest, and wherein the first and second received signals of interest include soft handoff traffic signals transmitted from first and second base station transmitters, respectively, and further comprising using the first and second fitting parameters from the first model as the second and first fitting parameters, respectively, in the second model.
25. The method of claim 1, wherein providing a model of received signal impairment correlations comprising one or more impairment terms scaled by corresponding model fitting parameters comprises maintaining one of a combined model for two or more received signals of interest, or maintaining a separate model for each of two or more received signals of interest.
26. The method of claim 1, further comprising using modeled signal impairment correlations from the model to generate at least one of RAKE combining weights for RAKE combining despread values of a received signal corresponding to the model, or generating signal quality estimates for the received signal.
27. The method of claim 1, wherein the recurring measurements of the received signal impairment correlations comprise estimating the received signal impairment correlations at successive instants in time based on interpolated channel estimates and adjusting the impairment correlations being modeled for spreading factor differences between received pilot signals and one or more received signals of interest.
28. The method of claim 1, wherein providing a model of received signal impairment correlations comprising one or more impairment terms scaled by corresponding model fitting parameters comprises providing a combined model corresponding to impairment correlations associated with two or more transmit diversity signals received as signals of interest.
29. The method of claim 28, wherein providing a combined model comprises including impairment correlation measurements for each received signal of interest in a combined impairment correlation matrix, and solving for model fitting parameters associated with each signal of interest.
30. The method of claim 1, wherein adapting each of the model fitting parameters responsive to recurring measurements of the received signal impairment correlations comprises updating the impairment terms of the model at successive time instants based on current channel estimates and path delays for a received signal of interest, and calculating updated model fitting parameters to fit the updated impairment terms to currently measured received signal impairments.
31. The method of claim 30, wherein the model includes an interference impairment term comprising an interference covariance matrix that is updated at each time instant based on current channel estimates, current RAKE finger delay assignments, and current received signal path delays.
32. The method of claim 31, wherein the model further includes a noise impairment term comprising a noise covariance matrix that is updated over one or more time instants based on an autocorrelation function of a received signal filter pulse and on current RAKE finger delay assignments.
33. The method of claim 1, wherein providing a model of received signal impairment correlations comprising one or more impairment terms scaled by corresponding model fitting parameters comprises maintaining a model term for each of one or more received signals of interest.
34. The method of claim 1, wherein providing a model of received signal impairment correlations comprising one or more impairment terms scaled by corresponding model fitting parameters comprises calculating at least one of the one or more impairment terms based on cross antenna values.
35. A computer readable medium storing a computer program for determining received signal impairment correlations for use in received signal processing, the computer program comprising:
program instructions to implement a model of received signal impairment correlations comprising one or more impairment terms scaled by corresponding model fitting parameters; and
program instructions to adapt each of the model fitting parameters responsive to recurring measurements of the received signal impairment correlations.
36. A receiver circuit to determine received signal impairment correlations for use in received signal processing, the circuit comprising:
an impairment correlation estimator configured to measure received signal impairment correlations for a received signal of interest; and
one or more impairment modeling circuits configured to implement a model of received signal impairment correlations comprising one or more impairment terms scaled by corresponding model fitting parameters, and to adapt each of the model fitting parameters responsive to recurring measurements of the received signal impairment correlations as provided by the impairment correlation estimator.
37. The receiver circuit of claim 36, wherein the receiver circuit further comprises a RAKE combining weight generator configured to generate RAKE combining weights for RAKE combining despread samples of the received signal of interest based at least in part on the model of received signal impairment correlations.
38. The receiver circuit of claim 36, wherein the receiver circuit further comprises a Signal-to-Interference Ratio (SIR) estimation circuit configured to estimate a SIR for the received signal of interest based at least in part on the model of received signal impairment correlations.
39. A wireless communication terminal for use in a wireless communication network comprising:
a radio front-end circuit configured to provide one or more received signals of interest corresponding to one or more antenna-received signals; and
a receiver circuit configured to generate one or more RAKE combined signals by RAKE processing the one or more received signals of interest;
said receiver circuit configured to calculate RAKE combining weights by:
providing a model of received signal impairment for a received signal of interest comprising an interference impairment term scaled by a first fitting parameter and a noise impairment term scaled by a second fitting parameter; and
measuring received signal impairment correlations at each of one or more successive time instants and, at each time instant, adapting values of the first and second fitting parameters to fit the model to measured received signal impairment correlations.
40. The terminal of claim 39, wherein the receiver circuit is configured to update the model at each time instant based on current channel estimates and path delays for a received signal of interest such that instantaneous values of the first and second fitting parameters are calculated to fit current interference impairment and noise impairment terms to the measured received signal impairment correlations.
41. The terminal of claim 40, wherein the receiver circuit is configured to fit the model to the measured received signal impairment correlations by adapting the instantaneous values of the first and second fitting parameters comprises fitting the current interference impairment and noise impairment terms to the measured received signal impairment correlations using a Least Squares Estimation (LSE) process.
42. The terminal of claim 40, wherein the interference impairment term comprises an interference covariance matrix that is updated at each time instant based on current channel estimates, current RAKE finger delay assignments, and current received signal path delays.
43. The terminal of claim 40, wherein the noise impairment term comprises a noise covariance matrix that is updated over one or more time instants based on an autocorrelation function of a received signal filter pulse and on current RAKE finger delay assignments.
44. The terminal of claim 39, wherein the receiver circuit is configured to model the received signal impairment correlations as an interference covariance matrix scaled by the first fitting parameter and a noise covariance matrix scaled by the second fitting parameter.
45. The terminal of claim 39, wherein the receiver circuit is configured to initialize the model by setting the first fitting parameter to zero and setting the second fitting parameter to a positive value.
46. The terminal of claim 45, wherein the receiver circuit sets the second fitting parameter to a positive value by setting it to an estimate of received noise power.
47. The terminal of claim 39, wherein the receiver circuit is configured to provide a model for each of one or more transmitted signals of interest.
48. The terminal of claim 47, wherein despread values are obtained corresponding to respective ones of each of two or more transmit antennas, and wherein the receiver circuit is configured to provide a model term for sets of despread values corresponding to each transmit antenna.
49. The terminal of claim 39, wherein the terminal comprises a Wideband CDMA (WCDMA) terminal configured to receive signals from a WCDMA base station, and wherein the receiver circuit is configured to maintain a first value of the first fitting parameter corresponding to an active state of shared downlink channel transmission by the WCDMA base station, and a second value of the first fitting parameter corresponding to an inactive state of shared downlink channel transmission by the WCDMA base station.
50. The terminal of claim 39, wherein the receiver circuit is configured to maintain multiple values of one or both the first and second fitting parameter corresponding to different transmission conditions at one or more radio base stations transmitting signals received by the terminal.
51. The terminal of claim 39, wherein the receiver circuit is configured to calculate signal-to-interference ratios (SIRs) based on the model.
52. The terminal of claim 39, wherein the receiver circuit is configured to adapt values of the first and second fitting parameters to fit the model to measured received signal impairment correlations based on estimating the second fitting parameter as a noise power value, and computing the first model fitting parameter based on removing a noise term from the measured received signal impairment correlations as a function of the calculated second fitting parameter.
53. The terminal of claim 52, wherein removing a noise term from the measured received signal impairment correlations as a function of the calculated second fitting parameter comprises applying a mapping function to the second fitting parameter to give the noise power a desired weighting, and subtracting the weighted noise power from the measured received signal impairment correlations.
54. The terminal of claim 39, wherein each successive time instant comprises a defined time slot, and wherein the receiver circuit is configured to measure received signal impairment correlations for each slot based on determining differences between each of a plurality of despread values generated over the slot and a channel estimate that varies over the slot to reflect changing fading conditions.
55. The terminal of claim 39, wherein the receiver circuit is configured to adapt values of the first and second fitting parameters to fit the model to measured received signal impairment correlations based on least squares fitting the model to the measured received signal impairment correlations.
56. A method of received signal processing comprising:
receiving one or more signals of interest during each of a succession of time slots;
generating channel estimates over each time slot;
measuring impairment correlations for the one or more signals of interest based on the channel estimates;
updating each term of an impairment correlation model based on the measured impairment correlations; and
generating in each time slot at least one of RAKE combining weights for combining despread values for the one or more signals of interest, and signal quality measurements for the one or more signals of interest.
57. The method of claim 56, wherein updating each term of an impairment correlation model based on the measured impairment correlations comprises updating a modeled interference correlation matrix by updating a corresponding first scaling factor and updating a modeled noise correlation matrix by updating a corresponding second scaling factor.
58. The method of claim 57, wherein updating a modeled interference correlation matrix by updating a corresponding first scaling factor and updating a modeled noise correlation matrix by updating a corresponding second scaling factor comprises calculating the second scaling factor by estimating a noise power, and calculating the first scaling factor by removing values using the second scaling factor from elements in a measured impairment correlation matrix representing the measured impairment correlations.
59. The method of claim 58, wherein calculating the first scaling factor by removing values using the second scaling factor from elements in a measured impairment correlation matrix representing the measured impairment correlations comprises generating the values from the second scaling factor based on a desired weighting emphasis to noise power.

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1. A process for detecting a fall of a person, comprising the following steps:
placing a sensor on the person, said sensor comprising at least one accelerometer and at least one magnetometer;
monitoring an acceleration signal and an ambient magnetic field signal provided by the sensor;
analyzing changes in said acceleration signal and said ambient magnetic field signal;
indicating a fall when a plurality of criteria have been met, the criteria including:
a) identifying the presence of a first period of instability in a vertical component of the acceleration signal, followed by a second period of instability in said vertical component of the acceleration signal; said vertical component being considered in a height direction of the person, and
b) discriminating between a fall and other events by analyzing a portion of the ambient magnetic field signal during said first period and said second period.
2. The process according to claim 1, wherein the portion of the ambient magnetic field signal includes a component of the ambient magnetic field along said height direction.
3. The process according to claim 2, wherein said discriminating includes indicating that a fall did not happen when said component of the ambient magnetic field along said height direction does not vary above a threshold in said portion of the ambient magnetic field signal.
4. The process according to claim 1, wherein the criteria further include:
c) detecting a recumbent position of the person if the vertical component of the acceleration signal is near zero during the second period.
5. The process according to claim 1, wherein said discriminating is performed by comparing said portion of the ambient magnetic field signal with equivalent portions of signals recorded previously and respectively corresponding to normal events.
6. The process according to claim 5, wherein said comparing is performed for a part of the portion of the ambient magnetic field signal, said part corresponding to either the first period of instability or the second period of stability.
7. The process according to claim 6, wherein said analyzing of the ambient magnetic field signal includes determining an azimuth of the person.
8. The process according to claim 7, wherein one of the normal events includes laying on a bed and said comparing includes comparing the azimuth of the person during the second period and an azimuth of the bed.
9. The process according to claim 1, wherein said indicating comprises indicating a fall after a threshold is crossed by a weighted numerical combination of the criteria.
10. The process according to claim 1, further comprising converting raw measurements of the sensor to express components of signal axes associated with the person and consisting of a vertical axis, an antero-posterior axis and a medio-lateral axis.
11. The process according to claim 1, wherein said sensor includes at least three accelerometers that measure acceleration in three orthogonal axes and at least three magnetometers that measure the ambient magnetic field in the three orthogonal axes.
12. The process according to claim 11, wherein said sensor has a range of measurement of about +\u22125 g for the accelerometers and about 50 micro-Telsa for the magnetometers.
13. The process according to claim 1, wherein said monitoring is performed continuously.
14. The process according to claim 1, wherein said discriminating is performed by comparing said ambient magnetic field signal before and after at least one of said first and second periods of instability.
15. The process according to claim 14, wherein said discriminating is performed by identifying said fall when said ambient magnetic field signal shows two plateaus at different levels before and after said at least one of said first and second periods of instability.
16. The process according to claim 14, wherein said discriminating is performed by identifying said fall when said vertical component of said acceleration signal is effectively zero after said at least one of said first and second periods of instability.
17. The process according to claim 1, wherein said first and second periods of instability are defined by oscillations in said acceleration signal and are separated by a period of stability during which said acceleration signal is relatively constant.
18. The process according to claim 1, wherein said step of indicating comprises transmitting a signal to a display device, wherein said signal signals that said fall occurred, and said display device produces an alarm indicating that said fall occurred.