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ICAforsignal
- Matlab环境下的基于独立分量分析（ICA）算法的信号混合与分离仿真程序-Matlab environment based on the independent component analysis (ICA) is a mixed-signal simulation and separation procedures
ICA_intro
- ICA介绍课件。There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea
ICA_for_Multi_User_Detection_in_CDMA_system
- Blind Source Seperation (BSS) now is a important technology. Independent Component Analysis (ICA) is the main technique of BSS. Suppose we mix many non-Gausse signal sources,ICA can seperate the mixed signal to orignal signals without any information
jinzhend
- 独立成分分析( I C A) 是一项把混合信号分解成具有统计独立性成分的新技术 。I C A近年已在生物医 域的信号分离中展示 了很好的应用前景 。 我们比较系统地介绍了 I C A的基本原理 、 主要算法 、 应用和 究的发展方向，旨在进一步推动有关的理论与应用研究工作。-Independent Component Analysis (ICA) is a decomposition of the mixed-signal components into a statistical in
ICA
- 基于负熵最大的独立分量分析算法，可以将独立的混合信号分离-Based on the negative entropy of the largest independent component analysis algorithm can be a separate mixed-signal separation
ICA_HJ
- 用ICA方法分离混合信号，采用H_J方法，输入信号为超高斯信号，如声音信号-Mixed-signal separation using ICA method —H_J method, the input signal for the super-Gaussian signals, such as acoustic signals
icabss
- 一种高效快速的线性混合新河盲分离ICA算法，提供了6个源信号以供参考，分离效果很好-An efficient linear mixed fast ICA algorithm for blind source separation New River, providing 6 source signal for reference, a good separation effect
ica_matlab
- Shiro Ikeda写的关于ica的算法，用于EMG和声音等混合信号的分离。 该软件包中包含2个推荐的声音文件可做仿真。-Shiro Ikeda written about ica algorithms for EMG and sound, and mixed-signal separation. The package contains two sound files to do the recommended simulation.
ICA
- ICA算法处理混合声信号分离技术中的程序-ICA algorithms for mixed sound signal separation process in
ica_code
- ICA独立成分分析，利用混合信号解出各个独立信号，被用于图像解混。-ICA Independent component analysis, the use of mixed-signal solution of the individual signals to be used for image unmixing.
mfile
- ICA盲源分离方法，可以很快的分离混合信号，对初学者有很大的帮助。-ICA blind source separation methods, can quickly separate mixed signal, there is a great help for beginners.
ICA---EASI
- 盲信号语音分离的程序，基于独立分量的分离程序，若输入两个源信号，则可以输出一组混合信号和分离后的信号-Blind signal speech separation procedure, based on independent component separation procedure, enter the two source signals, the output signal after a group of mixed-signal and separation
UInfformax_Fas
- 用matlab实现扩展Informax算法与固定点算法Faast ICA，可对混合后信号进行独立分量分离 已通过测试。 -Using matlab to expand Informax algorithm with fixed-point algorithm Faast ICA, independent component separation of the mixed signal has been tested.
NonnegativeICA
- 实现非负ICA的盲源分离，可用于对图像等非负混合信号的分离-Non-negative ICA blind source separation, can be used for the separation of mixed-signal images and other non-negative
paper_about_ICA
- 基于快速ICA的混合语音信号分离.pdf-Based on Fast ICA mixed voice signal separation. Pdf
Study-on-compound-fault-diagnosis
- 针对滚动轴承复合故障信号特征难以分离的问题， 提出将双树复小波变换和独立分量分析( ICA) 结合的故障诊断方 法 该方法首先将非平稳的故障信号通过双树复小波变换分解为若干不同频带的分量 由于各个分量存在一定的频率混叠， 对 故障信号特征提取有很大的干扰， 进而引入 ICA 对各个分量所组成的混合信号进行盲源分离， 从而尽可能消除频率混叠 最后 对从混合信号中分离出来的独立分量信号进行希尔伯特包络解调， 即可实现对复合故障特征信息的分离和故障识别-Aiming at the diff
ICA
- ICA 独立成分分析，能将混合信号成分单独分离出来，简单matlab程序-ICA independent component analysis, mixed signal components can be separated individually, simple matlab program
FastICA_25
- FastICA matlab小工具箱，可以对信号进行ICA处理，实现混合信号的成分分离-FastICA matlab small toolbox, ICA can signal processing, mixed signal component separation
ICA-program
- matlab程序，混合信号合成和分解，基于一种简单的算法。-Mixed signal synthesis and decomposition
ICA
- ICA算法可以提取个混合信号中各独立分量-The ICA algorithm can extract independent components in a mixed signal