Orthogonal decoding related technology-based parametric stereo coding and decoding methods

A parametric stereo and related technology technology, applied in the field of audio compression, can solve the problems that the all-pass filter cannot be precisely controlled in phase and affects the orthogonality of D and M

Active Publication Date: 2014-04-02
PEKING UNIV
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AI Technical Summary

Problems solved by technology

Since the all-pass filter cannot precisely control the phase, it will affect the

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  • Orthogonal decoding related technology-based parametric stereo coding and decoding methods
  • Orthogonal decoding related technology-based parametric stereo coding and decoding methods
  • Orthogonal decoding related technology-based parametric stereo coding and decoding methods

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Embodiment Construction

[0060] The present invention is described in detail below in conjunction with accompanying drawing, the parametric stereo coding method of the present invention is as follows image 3 shown.

[0061] 1. Framing and complex frequency domain transformation

[0062] The input of this module is the two-channel left channel signal and the right channel signal respectively, and the time domain signal is transformed into the complex frequency domain after the time-frequency transformation module (such as: MDFT, QMF), and the output complex signals L and R.

[0063] 2. Add and downmix module

[0064] The input of this module is the left channel signal and the right channel signal of the two-channel channel, which are respectively corresponding to the two complex frequency domain signals L and R after the time-frequency conversion module, and then output as a downmix signal M after the downmixing and summing module ,

[0065] M=g l L+g r R (1)

[0066] where g l =g r =0.5

[0...

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Abstract

The invention discloses an orthogonal decoding related technology-based parametric stereo coding method and an orthogonal decoding related technology-based parametric stereo decoding method. The coding method comprises the following steps of (1) transforming input left-channel and right-channel time-domain signals to a complex frequency domain to obtain two complex frequency-domain signals L and R respectively; (2) processing L and R to output a down-mixed signal M; (3) estimating side information by utilizing L and R, and performing fusion quantification on the side information, wherein the side information comprises ICC (intra-channel cross-correlation), an IID (inter-channel intensity difference) and an RD (rotating direction); (4) performing time-domain inverse transform, coding and output on M, and compressing, coding and outputting the side information. The decoding method comprises the following steps of transforming an input time-domain down-mixed signal to the complex frequency domain, and outputting a signal M; decoding input side information; solving an output signal D which has amplitude equal to that of M and is orthogonal with M according to the RD; calculating a rotating matrix H according to the ICC and the IID; obtaining the complex frequency-domain signals L and R by utilizing H, M and D, and transforming the complex frequency-domain signals L and R to the time domain for output. According to the methods, the decoding speed is greatly increased.

Description

technical field [0001] The invention belongs to the field of audio compression, and relates to a parametric stereo coding and decoding method, in particular to a parametric stereo coding and decoding method based on orthogonal decorrelation technology. Background technique [0002] Multimedia technology emerged in the late 1980s and is one of the most popular technologies in the computer field in recent years. Digital audio codec technology adopts the computer's digital recording and transmission mode to process various media and has a wide range of uses. However, limited by network bandwidth and storage space, how to compress the original data into as few bits as possible while ensuring high-quality listening experience has become a research hotspot. [0003] The reason why audio files can be compressed is because of redundancy. Traditional compression algorithms mainly consider eliminating redundancy within channels. When inter-channel redundancy is not considered, the bi...

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Application Information

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IPC IPC(8): G10L19/008
Inventor 曲天书吴玺宏黄益超黄庆博
Owner PEKING UNIV
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