小波包变换空间滤波法分离信号研究

基金项目:

煤炭科学基金(编号:96地20810) 资助项目部分内容

详细信息

STUDY ON THE SIGNAL SEPARATION USING SPACE FILTERING METHOD BASED ON WAVELET PACKAGE TRANSFORM

摘要: 利用小波包分析在时域和频域同时具有良好的局部化特性,对信号进行小波包变换后,用谱矩阵法计算质点的空间运动特性,构造相应的滤波函数,对分解后的信号进行滤波,将滤波结果用逆小波包变换进行重构,实现了滤除干扰、保留有用信号的目的,取得了非常满意的效果。
- 小波包 /
- 正交样条 /
- 谱矩阵 /
- 信号处理 /
- 空间滤波
Abstract: Using the wavelet package analysis,the better localization property is possessed simultaneously in time domain and frequency domain.After the wavelet package transform of signal is conducted,the space movement property of particle is calculated by spectral matrix method,constituting the corresponding filtered function.The decomposed signal is filtered,the filtered results are reconstituted by reverse wavelet package transform.The objectives of filtering the interference and reserving the effective signal are realized,obtaining the satisfactory effectiveness.
- wavelet package /
- orthogonal spline /
- spectral matrix /
- signal processing /
- space filtering