基于改进Morlet小波的信号符号率估计  

Symbol rate estimation based on the modified Morlet wavelet

作　　者：郭晶[1] 曹洁[1] 

机构地区：[1]兰州理工大学计算机与通信学院,兰州730050

出　　处：《电子测量技术》2009年第11期40-42,75,共4页Electronic Measurement Technology

摘　　要：连续小波变换由于具有良好的时频分析能力而广泛应用于信号特征分析,同时也由于较大的运算量而影响了其在工程上的运用。针对这个问题,本文根据指数遗忘分布在时间上的相关性,对Morlet小波函数进行了改进,并应用于信号符号率估计。仿真结果表明,采用快速算法的morlet小波变换在信号符号率估计性能方面并没有下降,并且运算效率大大提高了。Continuous wavelet transform had been widely frequency analysis. But it was limited in engineering problems, according to the time correlation of exponent used in signal recognition for it has excellent capability of timeapplication due to heavy cost of operation. In view of the forgetting distribution, this paper modified the Morlet wavelet function, and derived a fast algorithm for modified Morlet wavelet transform to reduce the computation. The simulation results show that the modified Morlet wavelet transform algorithm is superior to the original algorithm in symbol rate estimation.

关 键 词：MORLET小波 符号率估计 快速算法 指数遗忘分布 

分 类 号：TN957.524[电子电信—信号与信息处理]