小波阈值滤波算法的仿真及应用  

Simulation and Application of Wavelet Threshold Filtering Algorithm

作　　者：罗剑雄 Luo Jianxiong(92602 Troops,Ningbo Zhejiang 315031,China)

机构地区：[1]92602部队

出　　处：《信息与电脑》2019年第17期46-47,50,共3页Information & Computer

摘　　要：小波在信号分析和信号滤波方面具有绝对的优势,笔者首先介绍了小波滤波的基本原理和主要方法,对基于小波的阈值滤波理论以及各类阈值函数计算方法进行分析,并在Matlab中实现基于小波阈值的滤波器,对其性能进行仿真。仿真结果表明,高通滤波器和低通滤波器可以对噪声信号进行分解和重构。Wavelet has the absolute advantage in signal analysis and signal filtering, Firstly, this paper introduces the basic principle of wavelet filtering and the main methods, and make analysis of the wavelet threshold filtering theory and the calculation method of all kinds of threshold function, and this paper realizes in Matlab based on wavelet threshold filter, and makes simulation on its performance. Simulation results show that high-pass filter and low-pass filter can decompose and reconstruct noise signals.

关 键 词：信号滤波 小波 阈值分析 信号重构 

分 类 号：TN911.7[电子电信—通信与信息系统]