1. A method comprising:
assigning at least one beam direction, among a plurality of beam directions, in which to direct directionality of an output signal of one or more microphones of a communication device;
dividing microphone signals of each of the one or more microphones into selected frequency subbands wherein an analysis is performed;
selecting a microphone or at least one set of microphones of the communication device for at least one of the selected frequency subbands based in part on the analysis; and
optimizing, via a processor, the assigned at least one beam direction by adjusting at least one beamformer parameter based on the selected microphone or the selected at least one set of microphones associated with the at least one of the selected frequency subbands.
2. The method of claim 1, wherein:
optimizing directionality of the at least one beamformer parameter comprises generating directional measurement data obtained from signals of the selected microphone or the selected set of microphones and utilizing beamformer filter coefficients to process the directional measurement data.
3. The method of claim 2, wherein:
optimizing directionality of the at least one beamformer parameter further comprises calculating a power ratio based in part on utilizing the directional measurement data.
4. The method of claim 3, wherein:
calculating the power ratio comprises analyzing a determined power in the assigned beam direction relative to detected power of other beam directions of the plurality of beam directions.
5. The method of claim 3, further comprising:
altering the beamformer filter coefficients to maximize the power ratio for the adjusted beam direction and the at least one of the frequency subbands being analyzed to generate the at least one optimized beam parameter.
6. The method of claim 5, further comprising:
optimizing one or more different beamformer parameters for remaining beam directions among the plurality of beam directions in response to respective selections of the remaining beam directions, respective selections of one or more of the frequency subbands and respective selections of a different microphone or different sets of microphones of the communication device for each of the remaining beam directions.
7. The method of claim 6, further comprising:
utilizing the optimized at least one beam parameter and the different optimized beam parameters to process corresponding audio signals of the selected microphone or the selected at least one set of microphones and the different microphone or the different sets of microphones to produce directional output signals.
8. The method of claim 7, wherein produce the directional output signals comprises splitting each of the audio signals of respective microphones, of the at least one set and the different sets, in each of the selected frequency subbands to obtain a plurality of subband signals, performing beamformer processing on the plurality of subband signals for each of the plurality of beam directions and combining respective subsets of directional signals, based on the beamformer processing of the subband signals, for each of the beam directions to obtain respective directional output signals for each beam direction.
9. The method of claim 1, further comprising:
selecting another microphone or another set of microphones to capture or output audio data in response to detecting that at least one of the microphones of the at least one set is blocked or that an audio signal of the at least one microphone of the set is deteriorated.
10. An apparatus comprising:
at least one processor; and
at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following:
assign at least one beam direction, among a plurality of beam directions, in which to direct directionality of an output signal of one or more microphones of the apparatus;
divide microphone signals of each of the one or more microphones into selected frequency subbands wherein an analysis is performed;
select a microphone or at least one set of microphones of the apparatus for at least one of the selected frequency subbands based in part on the analysis; and
optimize the assigned at least one beam direction by adjusting at least one beamformer parameter based on the selected microphone or the selected at least one set of microphones associated with the at least one of the selected frequency subbands.
11. The apparatus of claim 10, wherein the at least one memory and the computer program code are further configured to, with the processor, cause the apparatus to:
optimize the directionality of the at least one beamformer parameter by generating directional measurement data obtained from signals of the selected microphone or the selected at least one set of microphones and utilizing beamformer filter coefficients to process the directional measurement data.
12. The apparatus of claim 11, wherein the at least one memory and the computer program code are further configured to, with the processor, cause the apparatus to:
optimize the directionality of at least one beamformer parameter by calculating a power ratio based in part on utilizing the directional measurement data.
13. The apparatus of claim 12, wherein the at least one memory and the computer program code are further configured to, with the processor, cause the apparatus to:
calculate the power ratio by analyzing a determined power in the assigned beam direction relative to detected power of other beam directions of the plurality of beam directions.
14. The apparatus of claim 12, wherein the at least one memory and the computer program code are further configured to, with the processor, cause the apparatus to:
alter the beamformer filter coefficients to maximize the power ratio for the adjusted beam direction and the at least one of the frequency subbands being analyzed to generate the at least one optimized beam parameter.
15. The apparatus of claim 14, wherein the at least one memory and the computer program code are further configured to, with the processor, cause the apparatus to:
optimize one or more different beam parameters for remaining beam directions among the plurality of beam directions in response to respective selections of the remaining beam directions, respective selections of one or more of the frequency subbands and respective selections of a different microphone or different sets of microphones of the apparatus for each of the remaining beam directions.
16. The apparatus of claim 15, wherein the at least one memory and the computer program code are further configured to, with the processor, cause the apparatus to:
utilize the optimized at least one beam parameter and the different optimized beam parameters to process corresponding audio signals of the selected microphone or the selected at least one set of microphones and the different microphone or the different sets of microphones to produce directional output signals.
17. The apparatus of claim 16, wherein the at least one memory and the computer program code are further configured to, with the processor, cause the apparatus to:
produce the directional output signals by splitting each of the audio signals of respective microphones, of the at least one set and the different sets, in each of the frequency subbands to obtain a plurality of subband signals, performing beamformer processing on the plurality of subband signals for each of the plurality of beam directions and combining respective subsets of directional signals, based on the beamformer processing of the subband signals, for each of the beam directions to obtain respective directional output signals for each beam direction.
18. The apparatus of claim 10, wherein the at least one memory and the computer program code are further configured to, with the processor, cause the apparatus to:
select another microphone or another set of microphones to capture or output audio data in response to detecting that at least one of the microphones of the at least one set is blocked or that an audio signal of the at least one microphone of the set is deteriorated.
19. A computer program product comprising at least one non-transitory computer-readable storage medium having computer-executable program code instructions stored therein, the computer-executable program code instructions comprising:
program code instructions configured to assign at least one beam direction, among a plurality of beam directions, in which to direct directionality of an output signal of one or more microphones of a communication device;
program code instructions configured to divide microphone signals of each of the one or more microphones into selected frequency subbands wherein an analysis is performed;
program code instructions configured to select a microphone or at least one set of microphones of the communication device for at least one of the selected frequency subbands based in part on the analysis; and
program code instructions configured to optimize the assigned at least one beam direction by adjusting at least one beamformer parameter based on the selected microphone or the selected at least one set of microphones associated with the at least one of the selected frequency subbands.
20. The computer program product of claim 19, further comprising:
program code instructions configured to optimize directionality of the at least one beamformer parameter by generating directional measurement data obtained from signals of the selected microphone or the selected at least one set of microphones and utilizing beamformer filter coefficients to process the directional measurement data analyze.
21. An apparatus comprising:
at least one processor; and
at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following:
enable one or more microphones to detect at least one acoustic signal from one or more sound sources;
communicate with a beamformer wherein at least one beam direction is assigned based on a recording event; and
analyze one or more microphone signals to select at least one set of microphones for the recording event, wherein the beamformer optimizes at least one parameter of the at least one beam direction based on the selected at least one set of microphones.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1-10. (canceled)
11. A method for simulating perfusion of the myocardial muscle with the aid of non-dynamic computed tomographic angiography, comprising:
simulating a blood flow through coronary blood vessels of a heart on the basis of segmented coronary blood vessels from imaging data of the heart and determining, from the simulating, the blood flow into different regions of a myocardial muscle of the heart into which different branches of the coronary blood vessels lead; and
simulating local perfusion of the myocardial muscle for the different regions from the determined blood flow into the different regions of the myocardial muscle of the heart.
12. The method of claim 11, further comprising:
visualizing an image of the myocardial muscle from which the perfusion of the different regions of the myocardial muscle is identifiable.
13. The method of claim 11, wherein the simulating of the blood flow includes calculating a model of the coronary blood vessels on the basis of the segmented coronary blood vessels and simulating the blood flow with the aid of the model.
14. The method of claim 11, wherein the simulating of the blood flow is done using a lattice Boltzmann method.
15. The method of claim 11, wherein the simulating of the blood flow includes using a statistical model to determine time functions for an arterial inflow and a venous outflow from the imaging data on the basis of an accumulation of contrast agent in the coronary blood vessels.
16. The method of claim 15, wherein the simulating of the blood flow additionally includes data of an injection protocol used for administering the contrast agent for the purpose of determining the time functions.
17. The method of claim 11, wherein the simulating of the local perfusion of the myocardial muscle includes initially simulating a dynamic accumulation of contrast agent in the myocardial muscle and then calculating perfusion parameters for the perfusion of the myocardial muscle from the dynamic contrast agent accumulation.
18. A non-transitory computer readable medium storing computer program instructions, which when operated on a processor, cause the processor to perform operations comprising:
simulating a blood flow through coronary blood vessels of a heart on the basis of the segmented coronary blood vessels from imaging data of the heart and determining, from the simulating, the blood flow into different regions of a myocardial muscle of the heart into which different branches of the coronary blood vessels lead; and
simulating local perfusion of the myocardial muscle for the different regions from the determined blood flow into the different regions of the myocardial muscle of the heart.
19. The non-transitory computer readable medium of claim 18, which, when operated on a processor, causes the processor to further:
visualize an image of the myocardial muscle from which the perfusion of the different regions of the myocardial muscle is identifiable.
20. The non-transitory computer readable medium of claim 18, wherein the simulating of the blood flow includes calculating a model of the coronary blood vessels on the basis of the segmented coronary blood vessels and simulating the blood flow with the aid of the model.
21. The non-transitory computer readable medium of claim 18, wherein the simulating of the blood flow is done using a lattice Boltzmann method.
22. The non-transitory computer readable medium of claim 18, wherein the simulating of the blood flow includes using a statistical model to determine time functions for an arterial inflow and a venous outflow from the imaging data on the basis of an accumulation of contrast agent in the coronary blood vessels.
23. The non-transitory computer readable medium of claim 22, wherein the simulating of the blood flow additionally includes data of an injection protocol used for administering the contrast agent for the purpose of determining the time functions.
24. The non-transitory computer readable medium of claim 18, wherein the simulating of the local perfusion of the myocardial muscle includes initially simulating a dynamic accumulation of contrast agent in the myocardial muscle and then calculating perfusion parameters for the perfusion of the myocardial muscle from the dynamic contrast agent accumulation.
25. A device for simulating perfusion of the myocardial muscle with the aid of non-dynamic computed tomographic angiography, comprising
a first simulation unit to simulate a blood flow through coronary blood vessels of a heart on the basis of segmented coronary blood vessels from imaging data of the heart, and to determine the blood flow into different regions of a myocardial muscle of the heart into which different branches of the coronary blood vessels lead; and
a second simulation unit to simulate local perfusion of the myocardial muscle for the different regions from the determined blood flow into the different regions of the myocardial muscle of the heart.
26. The device of claim 25, further comprising:
a visualization unit to visualize an image of the myocardial muscle from which the perfusion of the different regions of the myocardial muscle is identifiable.
27. A computed tomography scanner comprising the device of claim 25.
28. The device of claim 25, wherein the first simulation unit is configured to calculate a model of the coronary blood vessels on the basis of the segmented coronary blood vessels and to simulate the blood flow with the aid of the model.
29. The device of claim 25, wherein the first simulation unit is configured to simulate the blood flow using a lattice Boltzmann method.
30. The device of claim 25, wherein the first simulation unit is configured to simulate the blood flow using a statistical model to determine time functions for an arterial inflow and a venous outflow from the imaging data on the basis of an accumulation of contrast agent in the coronary blood vessels.
31. The device of claim 30, wherein the first simulation unit is additionally configured to use data of an injection protocol used for administering the contrast agent for the purpose of determining the time functions.
32. The device of claim 25, wherein second simulation unit is configured to initially simulate a dynamic accumulation of contrast agent in the myocardial muscle and then calculate perfusion parameters for the perfusion of the myocardial muscle from the dynamic contrast agent accumulation.