搜索资源列表
LMDPJADE
- 在信号处理里面，面对信号复杂奇异等问题，我们提出一种LMD+JADE的分解方法。先是对信号进行局部均值分解，进行升维，在用盲源分离方法进行特征提取。-In signal processing, the problem such as singular signal complexity, we propose a method of decomposition of LMD+ JADE. First the local mean decomposition of signals, l d, in
icaplot
- ICA是20世纪90年代后期发展起来的一项新降维处理方法。其含义是把信号分解成若干个互相独立的成分，并将信号源按不同混合比例组合起来的多通道同步观察。也就是说，ICA是属于多导信号处理的一种方法。ICA技术本身是用来处理盲源分离问题的，但是随着近些年的发展，其他领域也提出了相应的应用。在信号处理、图像加密及计量经济学等等方面都展现了独特的应用价值。绘图-Surgery itself is used to handle the problem of blind source separation,
mangxinhaofenli
- 盲信号分离仿真程序，模拟盲信号分离过程，有一定效果，可以用-Blind signal separation simulation program to simulate the blind signal separation process, have a certain effect, you can use
kurtosis
- 基于峭度的盲源分离算法，可以用于语音的分离，提高语音信号质量-Blind source separation algorithm based on kurtosis can be used to separate voice and improve the quality of voice signal
mangyuanfenli
- 国外文献中的JADE盲源分离算法，此程序为源作者编写并更改的程序，可用于多路信号的盲源分离。- Foreign literature JADE blind source separation algorithm, this program is the source program written by the author and change, it can be used for blind source separation of multiple signals.
InfomaxAlgorithm
- Infomax Algorithm用于盲信号分离-Infomax Algorithm for Blind Signal Separation
FastICA_25
- 盲源分离Fastica脚本文件，包含了盲源分离经常用到的函数文件-Blind source separation scr ipt file.
ica
- 关于盲源分离算法的简介，包括独立成分算法的编程。-ICA (independent component analysis) algorithm on the blind source separation algorithm, including the introduction of the algorithm, including the preparation of the algorithm.
exInfomax-BSS
- 扩展INFOMAX算法是盲源分离算法中极大似然估计的一种扩展，功能更强大。-The extended INFOMAX algorithm is an extension of the maximum likelihood estimation in the blind source separation algorithm, and the function is more powerful.
Speech_Signal_Processing
- 语音信号的 处理过程，可以成功地分离信号，属于盲源分离算法的一种。-Basic speech separation algorithm, using the independent component analysis method.
FastICA
- 盲源分离中的FastICA工具箱，包含基本函数设置的说明-Blind Source Separation FastICA toolbox
blind-source-separation
- 研究盲源分离的有用！基于Matlab 语言的-Useful Blind Source Separation! Based on Matlab
ICA_paper
- 盲信号分离的论文，有理论，有具体实例。ICA，独立分量分析，用于混合图片的分离-Blind signal separation of the paper, there is a theory, there are specific examples. ICA, independent component analysis, used for the separation of mixed images
ICA
- 自己写的代码，用改进的ica方法实现盲源分离，效果比传统的盲源分离要好很多，可以直接运行实现。-Write their own code, using the improved ICA method to achieve blind source separation, the effect is better than the traditional blind source separation is much better, you can directly run to achieve.
perforICA
- 基于matlab的ICA语音信号的盲源分离代码，里面包含实际的混合语音，分析结果，结果还是挺不错的。-Based on Blind Source Separation of ICA matlab speech signal, which contains the actual mix of voice analysis results, the result was very good.
Sparse-blind-source-
- 盲源分离程序代码 用于信号处理和模态识别-Blind source separation program code for signal processing and modal identification
FastICA
- 语音信号的盲源分离算法，其中包含了例子和算法-Blind source separation of speech signals, which contains examples and algorithms
FastICA
- Fast ICA 语音信号盲源分离代码-Fast ICA
20160428-1
- 基于频率切片小波变换预处理，此方法适用于盲信号分离的预处理，方法有很多优点。-Based on the frequency slice wavelet transform preconditioning, this method is suitable for the pretreatment of blind signal separation, the method has many advantages.
ICA-BBS
- 这是一个特别适合初学者进行学习,训练的关于ICA盲源分离的例子。简单易懂。-This is a particularly suitable for beginners to learn, training on the ICA blind source separation example. Easy to understand.