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lms_nlms_rls_by_matlab
- 本文件包括了关于自适应滤波器matlab实现的主流模拟仿真，其中包括lms，nlms，rls等等，供交流经验-This document includes the adaptive filter on matlab simulation to achieve the mainstream, including the lms, nlms, rls, etc., for exchange of experience
HayesMatlabFiles
- Matlab files for programs in Monson Hayes book. Functions such as Levinson durbin,Pisarenko, MUSIC, LMS, RLS etc.
adapt_filter
- 自适应滤波的MATLAB实现,介绍了LMS算法、NLMS算法和RLS算法-failed to translate
9988
- lms 算法的详细说明 （基于LMS与RLS算法的自适应均衡器性能研究）-lms detailed descr iption of the algorithm (LMS and RLS algorithm based adaptive equalizer performance of)
21
- it is a smrat bsed communication simulation for data modeling in music and lms and rls technique
RLS
- 自适应推导过程、原理，包括RLS算法及LMS的推导过程-Adaptive derivation of principles, including the derivation of the RLS algorithm and LMS
lms1
- lms algorithm and comparison between lms and rls algoritms of non linear channel equalization
LMS-RLS-self-adaptive-equalization
- 基于自适应均衡器的LMS算法和RLS算法的仿真分析。-Adaptive equalizer LMS algorithm and RLS algorithm simulation analysis.
LMS-and-RLS-algorithm--(CDMA)
- LMS and RLM code in matlab simulate in MUD CDMA system.
LMS-and-RLS-
- Simulation and Comparative Analysis of LMS and RLS Algorithms Using Real Time Speech InputSignal
Nemooneh-rezoomeWWW.IEUD_.IR_
- i want matlab code software for digital predistortion lms and rls algorithm-i want matlab code software for digital predistortion lms and rls algorithm
algorithm
- LMS算法程序，NLMS算法程序，RLS算法程序-The program of the LMS algorithm, NLMS algorithm, RLS algorithm
rls
- this algorithm is about lms algorithm in adaptive system and filters.
Performance-of-RLS-and-LMS
- Describes about performance comparison of RLS and LMS
adaptive filter
- 介绍了噪声抵消的原理和从强噪声背景中自适应滤波提取有用信号的方法，并对最小均 方 (LMS, Least Mean Squares) 、归一化 LMS(NLMS, Normalized Least Mean Squares) 和递推最小二乘 (RLS, Recursive Least Squares) 三种基本自适应算法进行了对比研究。计算机模拟仿真结果表明，这 几种算法都能通过有效抑制各种干扰来提高强噪声背景中的信号检测特性。相比之下， RLS 算法 具有良好的收敛性
junyunxianzheng
- LMS 算法、RLS 算法，通过Matlab软件仿真验证进行了性能对比。(The LMS algorithm and the RLS algorithm are compared with the performance of the Matlab software simulation.)