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speech-enhancement
- 本文介绍了一种基于自适应滤波算法的语音信号增强处理的方法。文中在扼要介绍了目前常用的语音增强方法的基础上，重点介绍了采用LMS算法的自适应语音增强系统。对三种LMS算法（基本LMS算法,符号误差LMS算法及NLMS算法）进行仔细研究，并用Matlab仿真实现，验证比较了三种算法的语音增强效果。-In this paper, a system of speech enhancement is discussed based on self-adaptive algorithm. On the ba
lms_nlms_gxlms
- 本程序包含lms算法，归一化nlms算法和格型lms算法，帮助新手熟悉lms算法和练习matlab编程。-This program contains the lms algorithm, normalized a the technology nlms algorithm and lattice lms algorithm to help the novice familiar with the lms algorithm and exercises matlab programming.
HLMSSmatlaabe
- 这 里主要对LMS算法及一些改进的LMS算法（NLMS算法、变步长LMS算法、变换域LMS算法）之间的不同点进行了比较，，在传统的LMS算法的基础上发 展了LMS算法的应用。另一方面又从RLS算法的分析析中对其与LMS算法的不同特性进行了比较。 -Here the main difference between the LMS algorithm and improved LMS algorithm (NLMS algorithm, variable step size LMS algori
AEC
- 基于LMS算法和NLMS算法的自适应声回波消除器AEC，实现的主要功能是：在用户对电视发出的指令混杂了电视扬声器的声学回声的情况下，滤掉电视声音得到较为纯净的用户语音指令信号。-The main function of the adaptive filter based on the LMS algorithm and the NLMS algorithm is mixed: in the instruction issued by the user on the television TV s
DEF.rar
- 里面有DFE、LMS、RLS、NLMS的几种算法的学习曲线的比较，很适合学习和分析,The DFE, LMS, RLS, NLMS several algorithms learning curve comparison, it is suitable for study and analysis
adp_filters
- adaptive algorithm algorithm : lms, rls, nlms
LMS_NLMS_RLS
- 基于RLS算法，NLMS和LMS的自适应滤波器的MATLAB程序-LMS and RLS algorithm performance comparisons, including the right value compared with the
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.
filter
- ７个源代码都是关于自适应噪声滤除技术的，其中包括小波分析，ＬＭＳ，ＲＬＳ，ＮＬＭＳ自适应滤波器，前向神经网络，ＢＰ神经网络自适应除噪-here seven of the source code are adaptive noise filtering technologies, including wavelet analysis, LMS, RLS, NLMS adaptive filter, to the neural network, BP neural network adaptive
matlab_files_msc_thesis_2105
- Echo cancellation using LMS and NLMS
MyNLMS
- NLMS算法，LMS的改进，实现回声抵消，matlab和打水漂联调-ahieve NLMS
LMS222
- LMS自适应滤波器与NLMS自适应滤波器的比较-LMS adaptive filter and compare NLMS adaptive filter
LMS_NLMS_compare
- 系统辨识中LMS，NLMS的比较,输入信号为高斯白噪声-compare LMS with NLMS in the system identification
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
recentcurve
- ADVANTAGE: The main advantage of the NLMS algorithm over the LMS algorithm is the faster convergence for correlated[11] and whitened input and the stableness of the output with the varying range of values independent input data[12]. And to implement
gaoshi_LMS_NLMS
- 自适应干扰对消噪声，有用信号为语音，干扰为高斯白噪声。LMS算法与NLMS算法对比-Adaptive interference cancellation noise and useful signals for voice, interference is Gaussian white noise. LMS algorithm and NLMS algorithm comparison
lms_and_nlms
- this a simple lms and nlms filter program to filter a signal contaminated with noise. the noise here is assumed to be linear noise that is non-stationary noise.finally its compared with the wiener filter-this is a simple lms and nlms filter program t
filter
- 包含了小波去噪，BP,NLMS,LMS,RLS等去噪方法，效果不错。-It contains the wavelet de-noising, BP, NLMS, LMS, RLS and other denoising method, good results.
FinalNOsieLMSNLMS
- Code for image denoising using LMS and NLMS codes
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 square), RLS (recursive least squa