小波变换在符号率估计中的应用研究  

Study of Wavelet Transformation in Symbol Rate Estimation

作　　者：马晓宇[1] 

机构地区：[1]西安电子科技大学电子工程学院,陕西西安710071

出　　处：《电子科技》2010年第9期74-76,共3页Electronic Science and Technology

摘　　要：小波变换具有局部显微特性,对信号的瞬时特性具有较强的捕获能力。文中介绍了Haar小波的基本原理,并从连续小波变换的定义出发,分析了PSK信号的小波域特征,对高斯白噪声中QPSK信号的小波变换进行了仿真实验。仿真结果表明,小波变换能够有效地检测并提取符号的跳变信息。Wavelet transformation has the characteristic of local microscope,so it is able to capture the instantaneous character of signals.This paper introduces the basic principle of Haar wavelet,and makes an analysis of the wavelet domain character of PSK signals starting with the definition of continuous wavelet transformation.Simulation of the wavelet transformation of QPSK signals in the background of white gauss noise is performed,whose result indicates that wavelet transformation can effectively obtain and extract the information of signals.

关 键 词：小波变换 QPSK 符号率估计 微分 整形 

分 类 号：TP911.1[自动化与计算机技术]