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Matching Pursuit Estimation and Quantizer Design for Sinusoidal Model-based Coder  

Ahn Yeong-Uk ((주)코아로직)
Jeong Gyu-Hyeok (충북대학교 전파공학과)
Kim Jong-Hak (충북대학교 전파공학과)
Yang Yong-Ho (충북대학교 전파공학과)
Lee In-Sung (충북대학교 전파공학과)
Publication Information
The Journal of the Acoustical Society of Korea / v.24, no.7, 2005 , pp. 402-409 More about this Journal
Abstract
In this paper. we propose a coding method using a matching pursuit algorithm in a strongly periodic highband signal. Also. we propose an efficient quantizer for the estimated parameters : spectral magnitude and phase. Based on the error concealment principle and sinusoidal model. the MP algorithm requires the high-precision pitch period estimation. To estimate more accurate pitch period. the refined pitch obtained from lowband speech is used. which increases the efficiency of bit allocation. The spectral magnitude parameters are quantized by the method which is combined with MDCT (Modified Discrete Cosine Transform) and multi-stage structure. The spectral phase quantizer uses the $2{\pi}$ modular characteristic of phases and the weighted function by spectral magnitudes. To evaluate the efficiency of the proposed method. we applied it to analysis-by-synthesis system. Furthermore we suggest the possibillity of scalable wideband speech codecs based on band-split structure.
Keywords
Matching Pursuit;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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