Quantizer self-adaptive regulation method for sensing audio encoding
An adaptive adjustment and audio coding technology, applied in the field of quantizers, which can solve the problems of the overall energy distortion of the reconstructed signal
Active Publication Date: 2008-11-26
ZTE CORP
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This shows that the quantizer of Mpeg-4AAC is prone to the problem that the reconstructed signal energy deviates from the overall energy distortion of the original signal
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The invention discloses a self-adapting adjusting method of a quantizer for perceptual audio coder, which includes processing steps of A, adjusting the original quantified boundary points according to regulated rule between initial quantified boundary points and quantified boundary points calculated and obtained by the principle that block energy has minimum distortion to obtain renewed quantified boundary points, B, carrying out quantified processing by using the renewed quantified boundary points as novel renewed quantified boundary points of a quantizer, C, repeating steps A and B, dynamically renewing the quantified boundary points, and carrying out quantified processing by using the renewed quantified boundary points. By dynamically renewing the quantified boundary points, the invention can perform self-adapting adjustment according to signal characteristic when coding audio frequency, thereby reducing the overall energy distortion, improving reconstructed signal quality after quantization coding, and improving the coding property of a coder on the premise of not changing the structure of a perceptual audio coder.
Description
A Quantizer Adaptive Tuning Method for Perceptual Audio Coding technical field The invention relates to a quantizer in perceptual audio coding, in particular to a quantizer adaptive adjustment method for perceptual audio coding. Background technique The quantization distortion of the encoder is related to the interval division of the quantizer and the size of the quantization value. The scalar quantizer maps the signal x falling in the quantization interval [x(i), x(i+1)) to the quantization level y(i); x(i) is the quantization boundary point, and the interval of the quantization level is called Quantization steps. Quantizers with equal quantization steps and equal quantization intervals are uniform quantizers, otherwise they are non-uniform quantizers. By using the centroid condition and the optimal partition condition, the optimal quantization level and quantization interval can be obtained in an iterative manner, which can obtain the smallest quantization mean square ...
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IPC IPC(8): G10L19/02G10L19/005G10L19/032
Inventor 吴晟邱小军黎家力陈强
Owner ZTE CORP