基于DSP的最优小波包基算法的实现  

Implementation of Optimized Wavelet Packet Basis Algorithm Based on DSP

作　　者：王靖琰[1] 

机构地区：[1]中国科学院上海应用物理研究所,上海201800

出　　处：《现代电子技术》2008年第22期161-163,166,共4页Modern Electronics Technique

摘　　要：小波包分析能够为信号提供一种更加精细的分析方法,它将频带进行多层次划分,对多分辨分析没有细分的高频部分进一步分解,并能够根据被分析信号的特征,自适应地选择相应频带,使之与信号频谱相匹配,从而提高时-频分辨率。为了能在DSP嵌入式设备中应用小波包分析方法进行信号处理,首先讨论小波包分解的过程和最优基及代价函数的选择方法,然后提出一种在DSP上实现香农熵代价函数的小波包分解算法的方法,并在浮点型DSP TMS320C6713B上实现了此算法。最后针对具体的数字信号进行小波包分解和最优基选择的实验,实验结果证明了该方法的正确性和高效性。Wavelet packet analysis is a precies analytical method by which the frequency band is further divided into multiple layers and the high frequency is divided in a more deep--going way. On the basis of characters of the signal,it can select the frequency band so that it can match the signal frequency properly and improve the time frequency resolution. In order to apply wavelet packet analysis in signal processing on DSP embedded equipment, the process of wavelet packet decomposition and the method for choosing the best base and cost function are discussed. Wavelet packet decomposition whose cost function is Shannon entropy is then implemented on floating point DSP TMS320C6713B. Experiment of wavelet packet decomposition and best base choosing is made. Effectiveness of this method is verified by results of the experiment.

关 键 词：小波包 代价函数 最优基 DSP 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]