搜索资源列表
Barros-orignal
- Barros提出的盲源分离算法，用于盲源信号提取-Barros blind source separation algorithm proposed for blind source extraction
fastica
- 基于独立成分分析混合图像盲源分离技术与研究-Technology and Research mixed image separation by Independent Component Analysis
BSS
- 盲源分离代码，含不同信噪比对分离效果的影响分析-BSS ICA
tuxiangmangyuan
- 主要应用Matlab来实现图像的盲源分离而且是三个图像的处理问题采用的方法是FastICA算法-The main application of Matlab to achieve blind source separation method for processing an image problem and is three images FastICA algorithm is used
Zadania-Boba-Randalla
- 齿轮信号干扰分析,通过解卷积算法和盲源分离算法对齿轮信号的干扰进行分析。-the code can be used for gear s signal analysis. bland separation algorithm has been used in this code.
ubss_demo
- 基于子空间表示的欠定盲源分离欠定盲源分离算法 包含对应的文章-Underdetermined blind source separation based on subspace representation
ICA
- 这是一个盲源分离的matlab程序，可以实现信号的成功分离。-This is a blind source separation matlab procedures can be achieved successfully separated signals.
fastica
- 该程序应用于盲信号处理中的盲源分离，通过求解混合信号的独立分量，将混合信号中的各信号分离出来-The program applies to blind signal processing blind source separation, by solving the mixed signal independent component, the separated mixed signal of each signal
tf_ubss
- 基于时频分析的欠定盲源分离算法，其中用到联合对角化的算法以及理论-Blind source separation algorithm based on time-frequency analysis due to which the use of algorithms and theory of joint diagonalization
paper3
- 动量项盲源分离算法及其性能优化策略.pdf-Momentum blind source separation and performance optimization strategy .pdf
icacombi
- 程序包括EFICA，WASOBI及两者的结合，可以快速实现盲源分离。-The program includes EFICA, WASOBI and their combination, can quickly achieve blind source separation.
wasobi
- 二阶盲源分离算法，可以分离出在非欠定的情况下的混叠信号-Second-order blind source separation algorithm can be isolated in a non underdetermined situation aliasing
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,
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
negentropy
- 基于负熵的盲源分离算法，可以用于语音的盲分离，提高语音信号质量-Negative entropy algorithm based on blind source separation, can be used to blind separation of speech, 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.
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.