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Linear predication analysis method, device and system

A linear prediction analysis, linear prediction technology, applied in the field of communication, can solve the problems of the linear prediction performance not being optimal, the complexity of the linear prediction analysis is large, etc., to achieve the effect of improving the prediction performance

Active Publication Date: 2013-02-13
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Using a fixed window function when adding a window will make the linear prediction performance less than optimal;
[0007] Or, perform two linear predictive analyzes on the input signal, one time adding a short window to the signal, and the other time adding a long window to the signal, because the linear predictive analysis is performed twice on the input signal, making the linear predictive analysis more complex

Method used

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  • Linear predication analysis method, device and system
  • Linear predication analysis method, device and system
  • Linear predication analysis method, device and system

Examples

Experimental program
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Effect test

Embodiment 1

[0046] The linear predictive analysis method provided by Embodiment 1 of the present invention, such as figure 2 As shown, the method steps include:

[0047] S201. Obtain the amplitude |x[0]| of the first sample point and the amplitude |x[N-1]| of the last sample point of the input signal, where, x[i], i=0, 1, ..., N-1 is the input signal, and N is the number of sample points of the input signal (such as 40, 80, 160, 240, 320, etc.); the input signal here refers to the signal input for LPC analysis, which may be a Frame signal, it may also be a frame signal plus a section of signal in the history buffer (such as L samples of the history buffer, L can use different positive integers according to different codecs, such as 40, 80, 160, 240 , 320, etc.);

[0048] S202. Analyze sample point amplitudes |x[0]| and |x[N-1]|, and perform adaptive windowing on the input signal according to the analysis results:

[0049] For example, when the number of input samples is 40:

[0050] ...

Embodiment 2

[0081] The linear predictive analysis method provided by Embodiment 2 of the present invention, such as image 3 As shown, the method steps include:

[0082] S301. Obtain the amplitude |x[0]| of the first sample point of the input signal, where x[i], i=0, 1, ..., N-1 is the input signal, and N is the input signal The number of sample points; the input signal here refers to the signal input for LPC analysis, which may be a frame signal, or a frame signal plus a section of signal in the history buffer (such as L sample points in the history buffer, L Different positive integers can be used according to different codecs, such as 40, 80, etc.);

[0083] S302. Analyze the sample point amplitude |x[0]|, and perform adaptive windowing on the input signal according to the analysis result:

[0084] If the amplitude |x[0]| of the first sample point of the input signal is greater than (or greater than or equal to) a certain preset threshold thr, the input signal is windowed with the fi...

Embodiment 3

[0096] The linear predictive analysis method provided by Embodiment 3 of the present invention, such as Figure 4 As shown, the method steps include:

[0097] S401. Acquire the average value of the amplitude of the first (or last) M sample points of the input signal Wherein, x[i], i=0, 1, ..., N-1 is the input signal, and N is the number of sample points of the input signal; the input signal here refers to the signal input for LPC analysis, which may be a Frame signal, it may also be a frame signal plus a section of signal in the history buffer (such as L samples of the history buffer, L can use different positive integers according to different codecs, such as 40, 80, etc.);

[0098] S402, the average value of the amplitude of the first (or last) M sample points Perform an analysis and adaptively window the input signal based on the analysis results:

[0099] If the amplitude average of the first (or last) M sample points Greater than (or greater than or equal to) a pr...

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Abstract

The invention discloses a linear prediction analysis method, device and system and relates to the field of communication. According to the linear prediction analysis method, device and system, the predicting performance of a linear prediction code can be improved and the complexity of analysis operation is low. The solution is as follows: the linear prediction analysis method comprises the following steps: acquiring signal characteristic information of at least one sample point of an input signal; carrying out comparative analysis on the signal characteristic information to obtain an analysis result; selecting a window function according to the analysis result for self-adaptively windowing the input signal to obtain a windowed signal; and processing the windowed signal to obtain a linear prediction coding coefficient for linear prediction. The linear prediction analysis method, device and system disclosed by the invention are used for linear predication coding.

Description

technical field [0001] The present invention relates to the communication field, in particular to a linear predictive analysis method, device and system. Background technique [0002] In order to save the bandwidth of speech and audio signal transmission and storage, the corresponding speech and audio coding technology has been widely used. At present, it is mainly divided into lossy coding and lossless coding. The reconstructed signal of lossy coding cannot be completely consistent with the original signal. , but the redundant information of the signal can be reduced to the greatest extent according to the characteristics of the sound source and the characteristics of human perception. Lossless coding must ensure that the reconstructed signal is exactly the same as the original signal, so that the final decoding quality will not be damaged. Generally speaking, the compression rate of lossy coding is relatively high, but the quality of reconstructed voice is not guaranteed. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L19/04
Inventor 许剑峰苗磊齐峰岩张德军张清
Owner HUAWEI TECH CO LTD
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