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Research on Key Techniques of AMR-WB+ Algorithm and Coded Stream Recognition

Author: WangJun
Tutor: ZhangLianHai
School: PLA Information Engineering University
Course: Military Intelligence
Keywords: The immittance spectrum of frequency Vector quantization Transform Code Excited Lattice vector quantization Stream identifiers
CLC: TN912.3
Type: Master's thesis
Year: 2009
Downloads: 50
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Abstract


Third generation mobile communication system commonly used in variable-rate audio coding , in order to meet the high-quality encoding of voice and music signal transmission needs . AMR-WB algorithm is one of the hot areas of research . The thesis of the AMR-WB technology and stream recognition algorithm , the main work is as follows: studies on resistance spectrum frequency ( ISF ) calculation and quantitative methods . Firstly, the definition of the ISF and the transformation method with the linear prediction coefficients , and then by improving the conversion of the existing literature classified split vector quantization ( SSVQ ) algorithm, proposed a way to reduce the bit rate ISF quantization method . Convert segments in the input vector , the method is no longer directly on the original vector split vector quantization , but the input vector and the corresponding classification vector subtraction , the difference vector obtained again split vector quantization . The experiments show that the new method can be achieved in each frame by 37 bits when the transparent quantization below SSVQ of 44 bits per frame , is also lower than the AMR-WB 46 bits per frame , and the codebook storage only third of the SSVQ method transform code excited ( TCX ) coding technology . The paper gives a TCX encoding and decoding processes, focuses on the use of lattice vector quantization method to quantify the spectral coefficients algorithm mechanism . In this based on the encoding rate of 12.8kbps TCX decoding algorithm . Finally, the average segmental SNR and informal main observation listen to a combination of methods to verify TCX effectiveness of the music signal coding . The encoded bitstream characterized , in this based on the identification of the type of encoding . AMR-WB and other 12 kinds of coding stream object , frame size, zero probability of common stream characteristics . Through the study of the various features for the AMR-WB coding , the use of the frame length and the first portion of the frame to determine the frame type ; proposed parameters for a given rate of encoding a frame size frame binding characteristics of the stream identification method . The frame length combined with the feature frame method first inter-frame similarity judgment frame size, re-use characteristics of frame templates and matching threshold further identify different encoding of the same frame size . The experiments showed that these two methods can effectively identify the code stream .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Electro-acoustic technology and speech signal processing > Speech Signal Processing
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