What is claimed is:
1. A data network for communicating data between a sender unit and a receiver unit, comprising:
a core network including relay elements intercoupled by data links;
a gateway element coupled to the core network and to the sender unit, the receiver unit being coupled to the core network, the gateway element having at least one information table identifying at least one route from the gateway element through the core network to the receiver unit, including the status of the route.
2. A method of management of data communication through a core network between a sender unit and a receiver unit that includes the steps of:
defining at least one communicative route through the core network between the sender and receiver units that includes a plurality of network links that each have a predetermined communication resource;
coupling the sender and receiver units to the core network with a sending and receiving gateway element, respectively;
allocating to the sending gateway element a first portion of the predetermined communication resource of at least certain of the network links forming a communicative route between the sending and receiving gateway elements, and maintaining at the sending gateway element information indicative of the allocated predetermined communication resource;
receiving at the sending gateway element a request from the sender unit for a data transfer across the route, the request including a specification of requested communication resource;
the sending gateway checking the information to grant the request if the communicating capacity of the communicative route is available.
3. The method of claim 2, including allocating a second portion of the predetermined communication resource of the certain of the network links.
4. The method of claim 3, wherein the step of checking the information includes reconfiguring the predetermined communicative resource of the certain of the network links re-allocate at least a portion of the communicative resource allocated to the receiving gateway element to the sending gateway element.
5. The method of claim 2, wherein the predetermined communication resource is a communication bandwith.
6. The method of claim 2, wherein the predetermined communication resource includes a communication bandwith.
7. A method of admission control of data to a core network having a number of relay nodes interconnected by data links, each of the data communicating links having a predetermined data communication capacity, the method including the steps of:
communicatively coupling sending and receiving gateway elements to the core network;
connecting first and second data transfer elements to the sending and receiving gateway elements, respecting, for data communication by a route through the core network containing certain of the data links;
assigning first and second portions of the data communication capacity of at least the certain of the data links to the sending and receiving gateway elements, respectively;
providing the sending gateway element with information indicative of the first portion;
the sending gateway element responding to a request for data communication of a requested capacity from the first data transfer element by checking the information, and granting the request if the communication capacity of the certain data links is at least equal to or greater than the requested capacity.
8. The method of claim 7, wherein the sending step includes re-assigning at least a part of the second portion to the first portion of the data communication capacity of at least one of the certain data links.
9. The method of claim 8, including the step of providing the receiving gateway element with information indicative of the second portion.
10. The method of claim 9, wherein the step of re-assigning includes decreasing the information indicative of the second portion by the part of the second portion re-assigned to the first portion.
11. The method of claim 10, wherein the step of re-assigning includes increasing the information indicative of the first portion by the part of the second portion re-assigned to the first portion.
12. A system for providing a QoS communication route from a first communicting entity to a second communicating entity through a core network that includes a plurality of network links, each network link having a predetermined communication resource, the system including;
a sending gateway element and a receiving gateway element respectively coupling the first and second communicating entities to the core network;
the sending gateway element a first portion of the predetermined communication resource of at least certain of the network links forming a communicative route between the sending and receiving gateway elements, and maintaining at the sending gateway element information indicative of the allocated predetermined communication resource;
receiving at the sending gateway element a request from the sender unit for a data transfer across the route, the request including a specification of requested communication resource;
the sending gateway checking the information to grant the request if the communicating capacity of the communicative route is available.
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 system for optimizing the audio performance of a consumer electronics device comprising:
an audio testing component for deriving an audio test dataset from the consumer electronics device;
a master design record for outputting a reference dataset;
an audio parameter generator for deriving one or more optimal audio parameters from the audio test dataset and the reference dataset; and
a programming unit to program the optimal audio parameters onto the consumer electronics device.
2. The system in accordance with claim 1, wherein the audio parameter generator comprises a probabilistic model for determining the optimal audio parameters.
3. The system in accordance with claim 2, further comprising a machine learning algorithm for training the probabilistic model.
4. The system in accordance with claim 2, wherein the probabilistic model is selected from a group consisting of a Kalman filter, a Markov model, a neural network, a Bayesian network, a fuzzy network, a self-organizing map, a dynamic Bayesian network and combinations thereof.
5. The system in accordance with claim 1, wherein the master design record comprises at least a portion of a history of audio test datasets and associated optimal audio parameters.
6. The system in accordance with claim 1, further comprising an acoustic analysis unit for generating a relative dataset from the reference dataset and the audio test dataset, the audio parameter generator configured to accept the relative dataset for use in generating the optimal audio parameters.
7. The system in accordance with claim 6, wherein the acoustic analysis unit comprises a feature extraction block to derive one or more audio features from the audio test dataset andor the reference dataset, the audio features included in the relative dataset.
8. The system in accordance with claim 6, wherein the acoustic analysis unit comprises a variance analysis block to derive an audio variance dataset from the audio test dataset and the reference dataset, the audio variance dataset included in the relative dataset.
9. The system in accordance with claim 1, further comprising a manual parameter building interface comprising a display and a data input device for interfacing with a human user.
10. The system in accordance with claim 9, wherein the manual parameter building interface comprises a toolset to allow a human user to generate the optimal audio parameters, bypassing the audio parameter generator.
11. A tuning rig for optimizing the acoustic performance of a consumer electronics device configured to accept one or more programmable audio parameters, comprising:
an acoustic test chamber configured to accept the consumer electronics device;
one or more microphones placed within the acoustic test chamber; and
a workstation in operable communication with the consumer electronics device and the microphones, configured to deliver one or more audio test signals to the consumer electronics device, receive one or more measured signals from the microphones andor the consumer electronics device, and to program at least a portion of the audio parameters.
12. The tuning rig in accordance with claim 11, wherein the workstation comprises andor is configured to communicate with a master design record, the master design record configured to output a reference dataset, at least a portion of the audio parameters depending on the reference dataset.
13. The tuning rig in accordance with claim 11, wherein the workstation is configured to communicate one or more of the audio test signals, one or more measured signals, andor identification information pertaining to the consumer electronics device to a cloud based data center.
14. The tuning rig in accordance with claim 11, wherein the workstation is configured to receive one or more audio enhancement parameters from a cloud based data center and to program the consumer electronics device with the audio enhancement parameters.
15. The tuning rig in accordance with claim 11, wherein the workstation comprises software for calculating one or more optimal audio parameters from the audio test signals and the measured signals, and for programming the optimal audio parameters onto the consumer electronics device.
16. The tuning rig in accordance with 11, wherein the acoustic test chamber is an anechoic chamber or semi-anechoic chamber.
17. The tuning rig in accordance with claim 11, further comprising a system for optimizing audio performance of a consumer electronics device comprising:
an audio testing component for deriving an audio test dataset from the consumer electronics device;
a master design record for outputting a reference dataset;
an audio parameter generator for deriving one or more optimal audio parameters from the audio test dataset and the reference dataset; and
a programming unit to program the optimal audio parameters onto the consumer electronics device.
18. (canceled)
19. (canceled)
20. A method for enhancing audio performance of a consumer electronics device comprising:
measuring at least a portion of an acoustic signature of the consumer electronics device;
comparing the portion of the acoustic signature of the consumer electronics device to a master design record to produce one or more reconfigured compensation parameters; and
programming the reconfigured compensation parameters onto the consumer electronics device.
21. The method according to claim 20, further comprising placing the consumer electronics device into an audio test chamber.
22. The method according to claim 20, further comprising programming a system code along with the reconfigured compensation parameters onto the consumer electronics device.
23. The method according to claim 20, further comprising deriving a device profile from the consumer electronics device.
24. The method according to claim 20, further comprising sending the acoustic signature, the device profile, andor the reconfigured compensation parameters to a cloud based data center.
25. The method according to claim 20, further comprising obtaining the master design record from a cloud based data center.
26. A method for tuning audio performance of a consumer electronics device comprising:
forming a master design record for the consumer electronics device comprising a reference audio parameter set and a reference audio test dataset;
uploading the reference audio parameter set to the consumer electronics device;
performing an audio test on the consumer electronics device to form a test dataset;
comparing the test dataset with the reference dataset to form a new target acoustic response;
generating a tuned audio parameter set from the reference audio test data and the new target acoustic response; and
uploading the tuned audio parameter set to the consumer electronics device.
27. The method in accordance with claim 26, wherein the step of generating is completed with a system for optimizing audio performance of a consumer electronics device comprising:
an audio testing component for deriving an audio test dataset from the consumer electronics device;
a master design record for outputting a reference dataset;
an audio parameter generator for deriving one or more optimal audio parameters from the audio test dataset and the reference dataset; and
a programming unit to program the optimal audio parameters onto the consumer electronics device.
28. The method in accordance with claim 26, wherein the step of performing is completed with a tuning rig for optimizing acoustic performance of a consumer electronics device configured to accept one or more programmable audio parameters, comprising:
an acoustic test chamber configured to accept the consumer electronics device;
one or more microphones placed within the acoustic test chamber; and
a workstation in operable communication with the consumer electronics device and the microphones, configured to deliver one or more audio test signals to the consumer electronics device, receive one or more measured signals from the microphones andor the consumer electronics device, and to program at least a portion of the audio parameters.