Systems and methods for audio timing and synchronization
According to disclosed embodiments, methods and systems of data transmission are provided. An aspect of the present disclosure is a method for estimating a TSF value, the method comprising requesting a timing synchronization function (TSF) value, receiving a first TSF value after a TSF read delay, and estimating a second TSF value by compensating the first TSF value using the TSF read delay.
1. A method comprising:
requesting a timing synchronization function (TSF) value;
receiving a first TSF value after a TSF read delay; and
predicting a second TSF value using a prediction model based on a compensated first TSF value, compensated using the TSF read delay;
wherein the compensation is achieved using adaptive filtering.
2. The method of claim 1 , further comprising:
estimating a third TSF value between the first TSF value and the second TSF value by interpolating the first TSF value and the second TSF value.
3. A method comprising:
requesting a timing synchronization function (TSF) value;
receiving a first TSF value after a TSF read delay;
predicting a second TSF value using a prediction model based on a compensated first TSF value, compensated using the TSF read delay; and
estimating a third TSF value between the first TSF value and the second TSF value by interpolating the first TSF value and the second TSF value;
wherein the interpolation uses an interpolation method selected from the group comprising: polynomial and cubic spline.
4. The method of claim 1 , wherein prediction model is a linear regression model.
5. A wireless audio device configured to perform the method of claim 1 .
6. A method comprising:
requesting a timing synchronization function (TSF) value;
receiving a first TSF value after a TSF read delay; and
predicting a second TSF value using a prediction model based on a compensated first TSF value, compensated using the TSF read delay;
wherein the compensation is achieved using a Volterra filter.
7. The method of claim 1 , wherein the prediction model is a gradient descent model.
8. A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a device, cause the device to:
request a timing synchronization function (TSF) value;
receive a first TSF value after a TSF read delay; and
predict a second TSF value using a prediction model based on a compensated first TSF value, compensated using the TSF read delay;
wherein the compensation is achieved using adaptive filtering.
9. The computer-readable storage medium of claim 8 , wherein the instructions further configure the device to:
estimate a third TSF value between the first TSF value and the second TSF value by interpolating the first TSF value and the second TSF value.
10. A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a device, cause the device to:
request a timing synchronization function (TSF) value;
receive a first TSF value after a TSF read delay; and
predict a second TSF value using a prediction model based on a compensated first TSF value, compensated using the TSF read delay;
estimate a third TSF value between the first TSF value and the second TSF value by interpolating the first TSF value and the second TSF value;
wherein the interpolation uses an interpolation method selected from the group comprising: polynomial and cubic spline.
11. The computer-readable storage medium of claim 8 , wherein prediction model is a linear regression model.
12. A wireless audio device comprising the computer-readable storage medium of claim 8 .
13. A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a device, cause the device to:
request a timing synchronization function (TSF) value;
receive a first TSF value after a TSF read delay; and
predict a second TSF value using a prediction model based on a compensated first TSF value, compensated using the TSF read delay;
wherein the compensation is achieved using a Volterra filter.
14. The computer-readable storage medium of claim 8 , wherein the prediction model is a gradient descent model.
15. A device comprising:
a processor; and
a memory storing instructions that, when executed by the processor, configure the device to:
request a timing synchronization function (TSF) value;
receive a first TSF value after a TSF read delay; and
predict a second TSF value using a prediction model based on a compensated first TSF value, compensated using the TSF read delay;
wherein the compensation is achieved using adaptive filtering.
16. The device of claim 15 , wherein the instructions further configure the device to:
estimate a third TSF value between the first TSF value and the second TSF value by interpolating the first TSF value and the second TSF value.
17. The device of claim 15 , wherein prediction model is a linear regression model.
18. The device of claim 15 , wherein the device is a wireless audio device comprising at least one of a wireless audio transmitter and a wireless audio receiver.
19. A device comprising:
a processor; and
a memory storing instructions that, when executed by the processor, configure the device to:
request a timing synchronization function (TSF) value;
receive a first TSF value after a TSF read delay; and
predict a second TSF value using a prediction model based on a compensated first TSF value, compensated using the TSF read delay;
wherein the compensation is achieved using adaptive filtering;
wherein the compensation is achieved using a Volterra filter.
20. The device of claim 15 , wherein the prediction model is a gradient descent model.