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The Research of Speech Coding Based on Compressed Sensing

Author: ShenDanDan
Tutor: YangZhen
School: Nanjing University of Posts and Telecommunications
Course: Signal and Information Processing
Keywords: Compressed sensing Observation vector Reconstructed Language Encoding Wavelet packet transform
CLC: TN912.3
Type: Master's thesis
Year: 2012
Downloads: 142
Quote: 0
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Abstract


Traditional Nyquist sampling theorem states that the sampling frequency is greater than or equal to 2 times the highest signal frequency distortion can restore the original information, but with the advent of the information age, people on the amount of information signal sampling rate and processing rate requirements are increasingly high, also increased the information sampling costs in recent years proposed compressed sensing theory of signal sampling and compression occur in the same step, the sparse use of signal far below the Nyquist sampling rate restore the original sampling rate on the signal compression and can be almost distortion free signal so greatly reduces the sampling rate of the signal, as well as the consideration of the data storage and transmission, and thus become a hot research field of signal processing in detail of compressed sensing itself based on, in order to be compressed sensing technology applied to the actual communication system, the compression perception theory and traditional speech encoding method combining first studied based compressed sensing voice PCM coding methods, and the observation sequence of PCM coding then reconstruct the original speech signal is compared with the traditional CS algorithm, the performance of the reconstructed speech of the encoding method can achieve a traditional CS algorithm reconstructed speech observation sequence obtained from the decoding performance in order to further reduce the amount of data transferred, the article also an encoding method based on the voice vector quantization compressed sensing observation sequence the whole vector quantization, and from the decoded observing sequence in the reconstruction of the original voice through the simulation results show that the coding method can be compressed sensing on the basis of the further effective amount of compressed data, while ensuring the performance of the reconstructed speech another article also carried out some modeling tentative analysis of the characteristics of the observation sequence Finally, we propose for the future based on compressed sensing speech parameter encoding explore a first voice signal voice encoding scheme based on wavelet packet transform and compressed sensing two layers of wavelet packet decomposition, the coefficients of the various nodes, the first node of the sparse conditions different compression ratio compression-aware processing, and uniform PCM encoding vector quantization codec end decoding the wavelet packet decomposition coefficients, the last wavelet synthesis reconstructed speech simulation shows that the coding method in the premise of guaranteeing the quality of the reconstructed speech, effective on the node does not satisfy the sparse conditions reduce the bit rate

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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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