搜索资源列表
MATLAB
- 我的毕业论文题目是自适应语音滤波 C实现的LMS程序，老师又要求用MATLAB进行仿真 本程序只能对WAV格式的波形文件进行处理
lms
- 在MATLAB下实现了自适应滤波算法，包含两种不同的算的比较-In the MATLAB achieve adaptive filtering algorithm, including comparison of two different operators
zishiying
- 自适应最小均方算法滤波代码，源信号为窄带信号，对源信号加随机噪声，通过自适应滤波器得出输出信号-matlab/LMS/
MrlslmsA
- 自适应滤波的MATLAB实现现，包括lms rls 等算法 -MATLAB realization of the adaptive filter is lms rls algorithms such as
BBasedonLMSlea
- 基于LMS(最小均方误差算法)的自适应滤波的源程序序，基于matlab ，经测试可直接使用。 -Based on the LMS (least mean square error algorithm) adaptive filtering of the source sequence, based on Matlab, has been tested and can be used directly.
Matlab-Kalman
- 使用Matlab实现LMS自适应滤波，实现的主要功能有：读入原始音频，加入高斯噪声后用LMS自适应滤波滤除，比较原始音频，加入噪声音频和滤波后音频的区别。-Matlab achieved using LMS adaptive filtering to achieve the main features are: read the original audio, adding Gaussian noise is filtered using LMS adaptive filtering, comp
YUYINXINH
- 第7章语音信号的减噪176 7.1自适应滤波器减噪176 7.1.1LMS算法基本原理176 7.1.2基本LMS自适应算法178 7.1.3LMS的自适应陷波器181 7.2谱减法减噪184 7.2.1基本谱减法184 7.2.2改进的谱减法187 7.3维纳滤波法减噪195 7.3.1维纳滤波的基本原理195 7.3.2维纳滤波减噪的具体步骤和函数WienerScalart96197 7.3.3维纳滤波的MATLAB例子1-Noise Chapte
LMS
- 是用matlab仿真lms算法，对加有随机噪声的信号用自适应滤波去噪。-Lms with matlab simulation algorithm, plus a random noise signal adaptive filtering noise.
LMSPRLS
- matlab，自适应滤波，LMS和RLS用于去噪。-Matlab, adaptive filter and LMS and RLS for denoising.
LMS
- LMS自适应滤波器matalb代码设计实现滤波功能(LMS adaptive filter MATALB code design and Realization of filtering function)
filter_LMS
- 实现了LMS算法的仿真，能够通过仿真波形分析出滤波器阶数、信噪比以及步长因子对滤波性能的影响。(The simulation of LMS algorithm is realized, and the influence of filter order, signal to noise ratio and step factor on filter performance can be analyzed by simulation waveform.)
lms
- LMS自适应滤波算法，用matlab实现的，注释详细，通俗易懂(LMS adaptive filtering algorithm, achieved by MATLAB, annotated in detail, easy to understand.)
LMS_Filter
- 本代码对LMS自适应滤波算法进行了简单仿真，结果表明LMS算法能够有效消除噪声干扰(This code is a simple simulation of LMS adaptive filtering algorithm. The results show that LMS algorithm can effectively eliminate noise interference.)