Adaptive quantization for matching pursuit

被引：1
|
作者：
Shoa, Alireza [1 ]
Shirani, Shahram [1 ]
机构：
[1] McMaster Univ, Dept Elect & Comp Engn, Hamilton, ON L8S 4L8, Canada
来源：
2006 IEEE WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING | 2006年
关键词：
D O I：
10.1109/MMSP.2006.285271
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We propose an adaptive quantization scheme for matching pursuit Different quantizers are used in different matching pursuit (MP) stages based on the probability distribution of MP coefficients. The quantizers are optimized for a given rate budget constraint. Additionally, our proposed adaptive quantization scheme finds the optimal quantizers for each stage based on the information known to both encoder and decoder. Our quantization scheme outperforms existing MP encoders.
引用
收藏
页码：71 / +
页数：2
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