Title :
Escaped-Huffman and adaptive recursive rice coding for lossless compression of the mapped domain linear prediction residual
Author :
Harada, Noboru ; Kamamoto, Yutaka ; Moriya, Takehiro
Author_Institution :
NTT Commun. Sci. Labs., Nippon Telegraph & Telephone Corp., Kyoto, Japan
Abstract :
ITU-T Recommendation G.711.0 has just been established. It defines a lossless and stateless compression for G.711 packet payloads (for both A-law and μ-law). This paper introduces some coding technologies proposed and applied to the G.711.0 codec, such as Plus-Minus zero mapping for the mapped domain linear predictive coding and escaped-Huffman coding combined with adaptive recursive Rice coding for lossless compression of the prediction residual. Performance test results for those coding tools are shown in comparison with the results for the conventional technology. The performance is measured based on the figure of merit (FoM), which is a function of the trade-off between compression performance and computational complexity. The proposed tools improve the compression performance by 0.16% in total while keeping the computational complexity of encoder/decoder pair low (about 1.0 WMOPS in average and 1.667 WMOPS in the worst-case).
Keywords :
Huffman codes; adaptive codes; audio coding; computational complexity; data compression; speech coding; G.711 packet payloads; ITU-T Recommendation G.711.0; adaptive recursive Rice coding; compression performance; computational complexity; encoder-decoder pair; escaped-Huffman coding; figure of merit; lossless compression; mapped domain linear prediction residual; plus-minus zero mapping; stateless compression; Codecs; Computational complexity; Encoding; Entropy coding; Laboratories; Linear predictive coding; Payloads; Telegraphy; Telephony; Testing; Adaptive recursive Rice coding; Escaped-Huffman coding; ITU-T Recommendation G.711.0; Lossless compression of G.711 payload; Mapped domain linear predictive coding; Plus-Minus zero mapping; Speech coding; Standardization;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495197