The fast codeword search algorithm based on the mean pyramids of codewords is currently used in image coding applications. A more efficient algorithm is presented for fastcodewordsearching which is based on the use ...
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The fast codeword search algorithm based on the mean pyramids of codewords is currently used in image coding applications. A more efficient algorithm is presented for fastcodewordsearching which is based on the use of mean-variance pyramids of codewords. Experimental results confirm the effectiveness of the proposed method.
This paper presents a fast efficient codewordsearchalgorithm for vector quantization (VQ) based on the Adaptive Multi-Rate Wideband (AMR-WB) speech codec. AMR-WB is the speech codec standardized by the 3GPP for the ...
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ISBN:
(纸本)9781424455690
This paper presents a fast efficient codewordsearchalgorithm for vector quantization (VQ) based on the Adaptive Multi-Rate Wideband (AMR-WB) speech codec. AMR-WB is the speech codec standardized by the 3GPP for the GSM and WCDMA 3G system. It is also selected as the ITU-T G. 722.2 standards. In AMR-WB speech codec VQ codewordsearch section, full searchalgorithm is used to find matching codeword. This requires a huge amount of computation. For large-size codebooks and high-dimensional vector of AMR-WB, computational complexity is significantly higher. The proposed fastcodewordsearch method selects the codeword, which has the least absolute error component in VQ codebook, as the initial matching codeword. It can help to reduce computational complexity, whereas the reconstructed speech quality almost has no dropping. The article introduces the basic principle of the fast codeword search algorithm in detail. Simulation results show that the algorithm based on AMR-WB speech codec, can reduce the time of vector quantization codebook search and the w-PESQ of nine modes is no significant dropping.
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