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flexica
- 这是实际环境中语音信号盲分离的最新程序代码，用于语音信号独立分量分析ICA。解压后运行，输入录制的混合语音信号即可看到结果。-this is the actual environment of the speech signal separation blind to the latest code, Voice Signal for independent component analysis ICA. Unpacked operation, the importation of record
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
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
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
- 独立成分分析(Independent Component Analysis，ICA)是近年来提出的非常有效的数据分析工具，它主要用来从混合数据中提取出原始的独立信号。它作为信号分离的一种有效方法而受到广泛的关注。-Independent component analysis (ICA) is proposed in recent years very effective tool for data analysis. It is mainly used to extract the origin
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