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投稿时间：2007-05-14
投稿时间：2007-05-14
中文摘要: 小波变换是通过伸缩和平移的思想,采用变化的时间窗,使得在时间域和频率域都可达到较高的分辨率.利用小波的多分辨率分析特性对音频信号进行压缩处理.仿真结果表明,这种方法具有压缩比高、压缩速度快、解码后能保持音频信号的基本特征等优点.
Abstract:In order to achieve better resolution simultaneously in both time and frequency domain,a varying time window is applied,through the idea of translations and dilations of a single function.A method is researched and discussed to compress data by taking advantage of multi-resolution analysis of wavelet.Via simulation in Matlab software,it is proved that the performance of wavelet has higher compression ratio and faster compression speed,and maintains the basic characters of speech signal when decoded.
keywords: wavelet analysis speech signal compression DSP
文章编号：20070318 中图分类号： 文献标志码：
基金项目:
| Author Name | Affiliation |
| HONG Yue-hao | School of Computer and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China |
引用文本：
洪月好.二进正交小波变换在音频信号压缩中的应用研究[J].上海电力大学学报,2007,23(3):268-271.
HONG Yue-hao.Study of Othogonal Wavelet Transform for the Audio Signal Compression[J].Journal of Shanghai University of Electric Power,2007,23(3):268-271.
洪月好.二进正交小波变换在音频信号压缩中的应用研究[J].上海电力大学学报,2007,23(3):268-271.
HONG Yue-hao.Study of Othogonal Wavelet Transform for the Audio Signal Compression[J].Journal of Shanghai University of Electric Power,2007,23(3):268-271.