초록 ▼

A dynamic normalization factor for a current frame of a signal is determined to reduce loss in precision for low-level signals. The normalization factor depends on an amplitude of the current frame of the signal. The normalization factor also depends on values of filter states after one or more oper

A dynamic normalization factor for a current frame of a signal is determined to reduce loss in precision for low-level signals. The normalization factor depends on an amplitude of the current frame of the signal. The normalization factor also depends on values of filter states after one or more operations were performed on a previous frame of a normalized signal and on the normalization factor for the previous frame. The current frame of the signal is normalized based on the normalization factor that is determined. The states' normalization factor may be adjusted based on the normalization factor that is determined.

대표청구항 ▼

1. An apparatus that is configured for dynamic normalization to reduce loss in precision for low-level signals, comprising: a processor;memory in electronic communication with the processor; andinstructions stored in the memory, the instructions being executable to: determine a normalization factor

1. An apparatus that is configured for dynamic normalization to reduce loss in precision for low-level signals, comprising: a processor;memory in electronic communication with the processor; andinstructions stored in the memory, the instructions being executable to: determine a normalization factor for a current frame of a signal, wherein the normalization factor depends on an amplitude of the current frame of the signal, and wherein the normalization factor also depends on values of filter states after one or more operations were performed on a previous frame of a normalized signal, and wherein the normalization factor also depends on a normalization factor for the previous frame;normalize the current frame of the signal based on the normalization factor that is determined; andadjust the states' normalization factor based on the normalization factor that is determined. 2. The apparatus of claim 1, wherein the values are squared values. 3. The apparatus of claim 1, wherein the values are cubic values. 4. The apparatus of claim 1, wherein the normalization factor is selected so that saturation does not occur. 5. The apparatus of claim 1, wherein the apparatus is a handset. 6. The apparatus of claim 5, wherein the apparatus is a handset implementing wireless communications. 7. The apparatus of claim 1, wherein the apparatus is a base station. 8. The apparatus of claim 1, wherein the signal is a low band excitation signal, wherein the normalized signal is a normalized low band excitation signal, wherein the states are filter states of a synthesis filter, and where the synthesis filter derives an output synthesized speech signal from the normalized low band excitation signal. 9. The apparatus of claim 1, wherein the signal is a low band excitation signal, wherein the normalized signal is a normalized low band excitation signal, wherein the states are filter states of high-band excitation generator, and wherein the high-band excitation generator derives a high-band excitation signal from the normalized low band excitation signal. 10. The apparatus of claim 1, wherein the signal is an input speech signal, wherein the normalized signal is a normalized input speech signal, wherein the states are filter states of an analysis filterbank, and wherein the analysis filterbank derives an output signal from the normalized input speech signal. 11. The apparatus of claim 1, wherein the signal is a high band excitation signal, wherein the normalized signal is a normalized high band signal, wherein the states are filter states of a synthesis filterbank, and wherein the synthesis filterbank derives an output signal from the normalized high band signal. 12. A method for dynamic normalization to reduce loss in precision for low-level signals, comprising: determining a normalization factor for a current frame of a signal, wherein the normalization factor depends on an amplitude of the current frame of the signal, and wherein the normalization factor also depends on values of filter states after one or more operations were performed on a previous frame of a normalized signal, and wherein the normalization factor also depends on a normalization factor for the previous frame;normalizing the current frame of the signal based on the normalization factor that is determined; andadjusting the states' normalization factor based on the normalization factor that is determined. 13. The method of claim 12, wherein the values are squared values. 14. The method of claim 12, wherein the values are cubic values. 15. The method of claim 12, wherein the normalization factor is selected so that saturation does not occur. 16. The method of claim 12, wherein the signal is a low band excitation signal, wherein the normalized signal is a normalized low band excitation signal, wherein the states are filter states of a synthesis filter, and where the synthesis filter derives an output synthesized speech signal from the normalized low band excitation signal. 17. The method of claim 12, wherein the signal is a low band excitation signal, wherein the normalized signal is a normalized low band excitation signal, wherein the states are filter states of high-band excitation generator, and wherein the high-band excitation generator derives a high-band excitation signal from the normalized low band excitation signal. 18. The method of claim 12, wherein the signal is an input speech signal, wherein the normalized signal is a normalized input speech signal, wherein the states are filter states of an analysis filterbank, and wherein the analysis filterbank derives an output signal from the normalized input speech signal. 19. The method of claim 12, wherein the signal is a high band signal, wherein the normalized signal is a normalized high band signal, wherein the states are filter states of a synthesis filterbank, and wherein the synthesis filterbank derives an output signal from the normalized high band signal. 20. An apparatus that is configured for dynamic normalization to reduce loss in precision for low-level signals, comprising: means for determining a normalization factor for a current frame of a signal, wherein the normalization factor depends on an amplitude of the current frame of the signal, and wherein the normalization factor also depends on values of filter states after one or more operations were performed on a previous frame of a normalized signal, and wherein the normalization factor also depends on a normalization factor for the previous frame;means for normalizing the current frame of the signal based on the normalization factor that is determined; andmeans for adjusting the states' normalization factor based on the normalization factor that is determined. 21. The apparatus of claim 20, wherein the non linear values are squared values. 22. The apparatus of claim 20, wherein the non linear values are cubic values. 23. The apparatus of claim 20, wherein the normalization factor is selected so that saturation does not occur. 24. The apparatus of claim 20, wherein the apparatus is a handset. 25. The apparatus of claim 24, wherein the apparatus is a handset implementing wireless communications. 26. The apparatus of claim 20, wherein the apparatus is a base station. 27. The apparatus of claim 20, wherein the signal is a low band excitation signal, wherein the normalized signal is a normalized low band excitation signal, wherein the states are filter states of a synthesis filter, and where the synthesis filter derives an output synthesized speech signal from the normalized low band excitation signal. 28. The apparatus of claim 20, wherein the signal is a low band excitation signal, wherein the normalized signal is a normalized low band excitation signal, wherein the states are filter states of high-band excitation generator, and wherein the high-band excitation generator derives a high-band excitation signal from the normalized low band excitation signal. 29. The apparatus of claim 20, wherein the signal is an input speech signal, wherein the normalized signal is a normalized input speech signal, wherein the states are filter states of an analysis filterbank, and wherein the analysis filterbank derives an output signal from the normalized input speech signal. 30. The apparatus of claim 20, wherein the signal is a high band excitation signal, wherein the normalized signal is a normalized high band signal, wherein the states are filter states of a synthesis filterbank, and wherein the synthesis filterbank derives an output signal from the normalized high band signal. 31. A computer-readable medium configured to store a set of instructions executable to: determine a normalization factor for a current frame of a signal, wherein the normalization factor depends on an amplitude of the current frame of the signal, and wherein the normalization factor also depends on values of filter states after one or more operations were performed on a previous frame of a normalized signal, and wherein the normalization factor also depends on a normalization factor for the previous frame;normalize the current frame of the signal based on the normalization factor that is determined; andadjust the states' normalization factor based on the normalization factor that is determined. 32. The computer-readable medium of claim 31, wherein the values are squared values. 33. The computer-readable medium of claim 31, wherein the values are cubic values. 34. The computer-readable medium of claim 31, wherein the normalization factor is selected so that saturation does not occur. 35. The computer-readable medium of claim 31, wherein the signal is a low band excitation signal, wherein the normalized signal is a normalized low band excitation signal, wherein the states are filter states of a synthesis filter, and where the synthesis filter derives an output synthesized speech signal from the normalized low band excitation signal. 36. The computer-readable medium of claim 31, wherein the signal is a low band excitation signal, wherein the normalized signal is a normalized low band excitation signal, wherein the states are filter states of high-band excitation generator, and wherein the high-band excitation generator derives a high-band excitation signal from the normalized low band excitation signal. 37. The computer-readable medium of claim 31, wherein the signal is an input speech signal, wherein the normalized signal is a normalized input speech signal, wherein the states are filter states of an analysis filterbank, and wherein the analysis filterbank derives an output signal from the normalized input speech signal. 38. The computer-readable medium of claim 31, wherein the signal is a high band excitation signal, wherein the normalized signal is a normalized high band signal, wherein the states are filter states of a synthesis filterbank, and wherein the synthesis filterbank derives an output signal from the normalized high band signal. 39. An apparatus that is configured for dynamic normalization to reduce loss in precision for low-level signals, comprising: a processor;memory in electronic communication with the processor; andinstructions stored in the memory, the instructions being executable to: determine a first gain of a first frame, wherein the first frame is a current frame;determine a second gain of a second frame, wherein the second frame is a previous frame;derive a number of bits corresponding to the first gain and the second gain; andsubtract the number of bits corresponding to a maximum of the first gain and the second gain from a normalization factor associated with the first frame, wherein the normalization factor depends on an amplitude of the current frame of the signal, and wherein the normalization factor also depends on values of filter states after one or more operations were performed on a previous frame of a normalized signal, and wherein the normalization factor also depends on a normalization factor for the previous frame. 40. The apparatus of claim 39, wherein the first gain and the second gain are a linear predictive coding (LPC) gain. 41. The apparatus of claim 39, wherein the apparatus is a handset. 42. The apparatus of claim 39, wherein the number of bits corresponding to the first gain and the second gain is derived using a mapping schema. 43. A method for dynamic normalization to reduce loss in precision for low-level signals, comprising: determining a first gain of a first frame, wherein the first frame is a current frame;determining a second gain of a second frame, wherein the second frame is a previous frame;deriving a number of bits corresponding to the first gain and the second gain; andsubtracting the number of bits corresponding to a maximum of the first gain and the second gain from a normalization factor associated with the first frame, wherein the normalization factor depends on an amplitude of the current frame of the signal, and wherein the normalization factor also depends on values of filter states after one or more operations were performed on a previous frame of a normalized signal, and wherein the normalization factor also depends on a normalization factor for the previous frame. 44. The method of claim 43, wherein the first gain and the second gain are a linear predictive coding (LPC) gain. 45. The method of claim 43, wherein the method is implemented by a handset. 46. The method of claim 43, wherein the number of bits corresponding to the first gain and the second gain is derived using a mapping schema. 47. An apparatus that is configured for dynamic normalization to reduce loss in precision for low-level signals, comprising: means for determining a first gain of a first frame, wherein the first frame is a current frame;means for determining a second gain of a second frame, wherein the second frame is a previous frame;means for deriving a number of bits corresponding to the first gain and the second gain; andmeans for subtracting the number of bits corresponding to a maximum of the first gain and the second gain from a normalization factor associated with the first frame, wherein the normalization factor depends on an amplitude of the current frame of the signal, and wherein the normalization factor also depends on values of filter states after one or more operations were performed on a previous frame of a normalized signal, and wherein the normalization factor also depends on a normalization factor for the previous frame. 48. The apparatus of claim 47, wherein the first gain and the second gain are a linear predictive coding (LPC) gain. 49. The apparatus of claim 47, wherein the apparatus is a handset. 50. The apparatus of claim 47, wherein the number of bits corresponding to the first gain and the second gain is derived using a mapping schema. 51. A computer-readable medium configured to store a set of instructions executable to: determine a first gain of a first frame, wherein the first frame is a current frame;determine a second gain of a second frame, wherein the second frame is a previous frame;derive a number of bits corresponding to the first gain and the second gain; andsubtract the number of bits corresponding to a maximum of the first gain and the second gain from a normalization factor associated with the first frame, wherein the normalization factor depends on an amplitude of the current frame of the signal, and wherein the normalization factor also depends on values of filter states after one or more operations were performed on a previous frame of a normalized signal, and wherein the normalization factor also depends on a normalization factor for the previous frame. 52. The computer-readable medium of claim 51, wherein the first gain and the second gain are a linear predictive coding (LPC) gain. 53. The computer-readable medium of claim 51, wherein the number of bits corresponding to the first gain and the second gain is derived using a mapping schema.