CAJ | 학술논문

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.
개소료기우LMS산법적소파변환역자괄응균형기,병분석료차류균형기적성능.교위상세지연구료소파역자괄응균형기적유납해、수렴조건、균방오차등문제.침대시불변급시변수렴인자2충정황진행료토론.급출료소파역균형산법적산법복잡도.방진결과표명소파역자괄응균형비기시역산법구유경호적수렴성.
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.