摘要
介绍了基于LMS算法的小波变换域自适应均衡器 ,并分析了此类均衡器的性能 .较为详细地研究了小波域自适应均衡器的维纳解、收敛条件、均方误差等问题 .针对时不变及时变收敛因子 2种情况进行了讨论 .给出了小波域均衡算法的算法复杂度 .
In this paper performances of wavelet transform domain (WTD) adaptive equalizers based on the least mean￣square (LMS) algorithm are analyzed. The optimum Wiener solution, the condition of convergence, the minimum mean square error (MSE) and the steady state excess MSE of the WTD adaptive equalizer are obtained. Constant and time varying convergence factor adaptive algorithms are studied respectively. Computational complexities of WTD LMS equalizers are given. The equalizer in WTD shows much better convergence performance than that of the conventional in time domain.
基金
theNationalNaturalScienceFoundationofChina(69982 0 0 2 )
关键词
小波变换域
自适应均衡器
性能分析
LMS
wavelet
transform domain
wavelet transform domain
LMS
adaptive equalizer
