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 .仿真结果表明小波域自适应均衡比其时域算法具有更好的收敛性 This paper introduces the adaptive equalizer of wavelet transform domain based on LMS algorithm and analyzes the performance of this kind of equalizer.It also studies the Wiener solution, convergence condition, mean square error and so on of the wavelet domain adaptive equalizer in more detail. Time invariant and time-varying convergence factors are discussed.The algorithm complexity of the wavelet domain equalization algorithm is given.The simulation results show that the wavelet domain adaptive equalization has better convergence than the time-domain algorithm