搜索资源列表
LMS_NLMS
- 最小均方算法，归一化最小均方算法，LMS and NLMS。并做了对比。-Least mean square algorithm, the normalized least mean square algorithm, LMS and NLMS. And do a comparison.
my_NLMS_good
- 自己编写的基于nlms的回波消除算法，直接能运行-I have written based nlms echo cancellation algorithm can be run directly
lms
- 基于matlab的LMS、LMS牛顿算法。用于实现步长K改变对LMS、NLMS的影响。-LMS、NLMS methods based on Matlab. To test the changes when change the K.
RLS_LMS
- 关于自适应滤波，均衡算法的几个M程序，采用的算法分别是LMS，NLMS，RLS-several matlab programs are about adaptive filter and equalization for communication system. The algorithm is LMS, NLMS and RLS.
projection1
- 自适应滤波的很多经典算法以及一些新的算法，FAP,APA,FAPA,RLS,LMS,NLMS-Many classical adaptive filtering algorithms as well as some new algorithms, FAP, APA, FAPA, RLS, LMS, NLMS
LLMSaNLMS
- 自适应MATLAB算法实验LLMS&NLMS-MATLAB algorithm for adaptive experiments LLMS & NLMS
aec
- 自己写的回声对消算法rls,frls,nlms,apa的matlab仿真，还附有音频文件，和详细的文档说明，很详细，非常适合本科生做毕业设计。-A project on AEC, including rls, frlf, nlms and apa, is carefully writen and would be very helpful to undergraduate students.
LMS-based_Algorithms
- 基于最小均方算法的自适应滤波算法设计LMS，NLMS，LMS-Newton-Least mean square based_Algorithms,
aec-master
- webrtc 的回声抵消(aec、aecm)算法主要包括以下几个重要模块：1.回声时延估计 2.NLMS(归一化最小均方自适应算法) 3.NLP（非线性滤波） 4.CNG(舒适噪声产生），一般经典aec算法还应包括双端检测(DT)。考虑到webrtc使用的NLMS、NLP和CNG都属于经典算法范畴，故只做简略介绍，本文重点介绍webrtc的回声时延估计算法,这也是webrtc回声抵消算法区别一般算法(如视频会议中的算法)比较有特色的地方
code
- 值是关于lms nlms dlms的一个处理算法，都使用的matlab的自带库函数，并且给出了gui操作界面，简单易用-Value is about lms nlms dlms a processing algorithms are used matlab comes with library functions and gives gui interface, easy to use
adaptive_NLMS
- 这是我编写的归一化最小均方误差算法，算法在matlab上实现-THIS is Nlms algorithm,matlab
SQJHC
- 一个matlab实现IIR,FIR,LMS,NLMS等算法的m代码 不错的-A matlab IIR and FIR, LMS, NLMS algorithm such as m code is good
04483605
- 一个matlab实现IIR,FIR,LMS,NLMS等算法的m代码 不错的-A matlab IIR and FIR, LMS, NLMS algorithm such as m code is good
lms_adaptive_filtering
- 基于LMS自适应滤波的算法仿真程序，基于NLMS自适应滤波的算法仿真程序(adaptive filtering algorithm simulation program based on LMS and NLMS)
matlqbNLMS
- 一个matlab实现IIR,FIR,LMS,NLMS等算法的m代码 不错的(A matlab IIR and FIR, LMS, NLMS algorithm such as m code is good)
3
- 对基于LMS(最小均方)、NLMS（归一化最小均方）、RLS（递归最小二乘）算法的自适应噪声抵消系统进行MATLAB仿真，发现这几种算法都能从高背景噪声中有效地抑制干扰提取出有用信号，显示出了良好的的收敛性能，相比之下RLS算法去噪效果较好，呈现出更快的收敛速度，更强的稳定性和抑噪能力(the principle of LMS (minimum mean square), NLMS (normalized least mean squa
bianshisuanfa
- 对几种常用的辨识算法如LMS,，NLMS ， LMF进行了比较(System Identification Comparison)