Sinusoidal model based coding of audio signals
First Claim
1. A method of signal coding, the method comprising the acts of:
- (a) receiving an input signal;
(b) dividing the input signal in time to produce a plurality of frames each containing a section of the input signal; and
(c) selecting functions from a function dictionary to form an approximation of the signal in each frame, the selecting act being carried out in sub-acts;
wherein the selection process of act (c) is carried out on the basis of a norm which is based on a combination, such as a product, of a weighting function expressed as a function of frequency and a product of a window function defining each frame in the plurality of frames and the section of the input signal to be modeled, the product of the window function and the section of the input signal to be modeled being expressed as a function of frequency; and
wherein a new norm is induced at each of said sub-acts based on a current residual signal, the weighting function being updated to take into account masking characteristics of the residual signal.
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Abstract
An apparatus and method of signal coding includes an analysis-by-synthesis algorithm for sinusoidal modeling. An input signal to be modeled is divided in time to produce a plurality of frames. Functions from a dictionary are selected to form an approximation of the section of the input signal contained in each frame, with the selection carried out based on a psychoacoustic norm. The function dictionary is made up of complex exponentials and these are selected iteratively to make up the section of the input signal contained in each frame. The psychoacoustic norm adapts after each iteration according to the changing masking threshold of the residual signal to be modeled in the next step.
16 Citations
17 Claims
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1. A method of signal coding, the method comprising the acts of:
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(a) receiving an input signal; (b) dividing the input signal in time to produce a plurality of frames each containing a section of the input signal; and (c) selecting functions from a function dictionary to form an approximation of the signal in each frame, the selecting act being carried out in sub-acts; wherein the selection process of act (c) is carried out on the basis of a norm which is based on a combination, such as a product, of a weighting function expressed as a function of frequency and a product of a window function defining each frame in the plurality of frames and the section of the input signal to be modeled, the product of the window function and the section of the input signal to be modeled being expressed as a function of frequency; and wherein a new norm is induced at each of said sub-acts based on a current residual signal, the weighting function being updated to take into account masking characteristics of the residual signal. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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Specification