Encoding method and decoding method for lossless audio compression

A coding method and audio compression technology, applied in speech analysis, instruments, etc., can solve problems such as difficulty in making breakthroughs in compression efficiency, and achieve the effects of shortening compression delay, small redundancy, and improving compression effect

Inactive Publication Date: 2014-12-17
INST OF DONGGUAN SUN YAT SEN UNIV +1
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0003] Although the existing lossless audio compression algorithm has achieved very accurate results in maintaining the integrity of audio files, it is always difficult to make a breakthrough in compression efficiency, which can only be compressed to half of the original file

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  • Encoding method and decoding method for lossless audio compression
  • Encoding method and decoding method for lossless audio compression
  • Encoding method and decoding method for lossless audio compression

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Embodiment Construction

[0042] The following is attached Figure 1-6 The method of the present invention is further described in detail. It should be noted that the specific examples described below are only used to explain the content of the invention, and are not intended to limit the present invention.

[0043] The lossless audio compression coding method of the present invention adopts five main key technologies: adaptive framing technology, integer type improved discrete cosine transform (IntMDCT) of modulus transformation, channel decorrelation, improved integer coefficient linear prediction, Golomb -Rice entropy encoding.

[0044] The details are as follows:

[0045] like figure 1 As shown, the original PCM audio signal is divided into frames by adaptive framing technology, and the frame information and frame signal are obtained, and the frame information is included in the side information. Then, the improved discrete cosine transform is performed on each frame signal, and the obtained re...

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Abstract

The invention provides an encoding method and a decoding method for lossless audio compression. The encoding method includes following steps: S1, adopting a self-adaption framing technology to frame original PCM (pulse-code modulation) audio signals to obtain framing information and framing signals, and bringing the framing information into side information; S2, performing modified discrete cosine transforming to each frame signal so as to obtain residual frequency spectrums and transformation signals; S3, performing audio track decorrelation to each frame transformation signal; S4, utilizing linear prediction parameters to conduct linear prediction to each frame after the audio track decorrelation so as to obtain residual error signals; S5, performing entropy encoding to the residual error signals and the residual frequency spectrums together so as to obtain a codebook of entropy encoding, and converting the codebook into a compressed bit stream for outputting; and S6, bringing the linear prediction parameters used in S4 linear prediction and the codebook of the entropy encoding obtained in S5 into the side information in S1.

Description

technical field [0001] The invention relates to the field of digital audio compression, in particular to a lossless audio compression encoding method and a decoding method thereof. Background technique [0002] The core goal of audio coding is to represent the signal with the least number of bits while achieving transparent signal regeneration, which means that even sensitive listeners ("golden ears") cannot perceive the difference between the original input and the reproduced output audio . It is necessary to ensure that the audio file remains lossless, but also ensure that its storage space is small and the transmission is fast. It is an effective way to reduce the compression ratio of lossless audio and improve the compression efficiency. Lossless audio compression coding is mainly divided into two steps: the first decorrelation, and the second entropy coding. Decorrelation methods fall into two categories: prediction-based coding and transform-based coding. Prediction...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L19/12
Inventor 陆许明徐永键李佳男谭洪舟
Owner INST OF DONGGUAN SUN YAT SEN UNIV
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