Noise reduction in oversampled filter banks using predictive quantization

被引:69
作者
Bölcskei, H
Hlawatsch, F
机构
[1] Stanford Univ, Informat Syst Lab, Stanford, CA 94305 USA
[2] Vienna Univ Technol, Inst Commun & Radio Frequency Engn, A-1040 Vienna, Austria
基金
奥地利科学基金会;
关键词
filter banks; frame theory; linear prediction; noise reduction; noise shaping; oversampling; quantization; rate-distortion theory; sigma-delta converter; subband coding;
D O I
10.1109/18.904519
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We introduce two methods for quantization noise reduction in oversampled filter banks. These methods are based on predictive quantization (noise shaping or linear prediction). It is demonstrated that oversampled noise shaping or linear predictive subband coders are well suited for subband coding applications where, for technological or other reasons, low-resolution quantizers have to be used, In this case, oversampling combined,vith noise shaping or linear prediction improves the effective resolution of the subband coder at the expense of increased rate. Simulation results are provided to assess the achievable quantization noise reduction and resolution enhancement, and to investigate the rate-distortion properties of the proposed methods.
引用
收藏
页码:155 / 172
页数:18
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