Incorporating spectral dynamics into LSF vector quantization with error shaping
نویسندگان
چکیده
منابع مشابه
Incorporating Spectral Dynamics into LSF Vector Quantization with Error Shaping
This paper proposes an innovative technique to incorporate the infor-mation of spectral dynamics into the line spectrum frequency (LSF) vec-tor quantization (VQ). This technique is based on a modified weightedlog-spectral distortion (MWLSD) measure. It can be used to shapethe spectral quantization distortion distribution into any frequency-dependent shaping curve, and simult...
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This paper presents an error shaping technique for line spectrum frequency (LSF) vector quantization. The error shaping technique based on the weighted logarithm spectral distortion (WLSD) measure can be used for shaping the spectral distortion distribution ofquantization error into anydifferent curve depending on what kind of weighting function is used. However, the high computational complexi...
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In the context of vector quantization (VQ) of the line spectrum frequency (LSF) parameters, we determine experimentally a spectral distribution of quantization error perceived to be " balanced " , i.e., error at all frequencies contributing equally, on average, to the perceived distortion. Quantizers which have a balanced distribution should outperform those which don't, given the same number o...
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A modification of a classical Predictive Vector Quantization (PVQ) technique with switched-adaptive prediction for line spectrum frequencies (LSF) quantization is proposed in this paper, enabling significant reduction in complexity. Lower complexity is achieved through use of higher number of switched prediction matrices but with reduced number of their nonzero elements. The structures of such ...
متن کاملQuantization of LSF by Lattice Shape-Gain Vector Quantizer
This paper presents a new lattice vector quantizer, namely lattice based shape-gain vector quantizer (LSGVQ), for line spectral frequencies (LSF) quantization. LSGVQ is developed in an attempt to reduce computation time for codebook search and memory requirement for saving codewords. Optimal design method and optimal encoding algorithm are provided for LSGVQ based on optimization of the squared...
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ژورنال
عنوان ژورنال: International Mathematical Forum
سال: 2006
ISSN: 1314-7536
DOI: 10.12988/imf.2006.06029