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ifa20
- 变分独立因子分析C++代码,H.Attias说比独立分量分析要好,但是这个程序分析效果不好,可能是程序问题,也可能是对理论理解不透-Variational analysis of an independent factor C++ Code, H. Attias said that better than the independent component analysis, but analysis of the effect of
fourorderculumantsica
- 独立分量分析的累积量方法，分离信号 ica方法-Independent Component Analysis cumulant method, separation method of signal ica
bsp
- 一篇关于独立分量分析的文章中的源程序，可以用于对两个语音信号的分离-An article on independent component analysis of the source of the article can be used for the separation of two speech signals
lunwen
- 本论文的主要工作在于引入了一种新的特征提取方法----独立分量分析。独立分量分析的根本原理是通过分析多维观测数据间的高阶统计相关性，找出相互独立的隐含信息成分，完成分量间高阶冗余的去除及独立信源的提取-In this paper, the major work is the introduction of a new method of feature extraction independent component analysis.
SpeakerrecognitionsystembasedonICAandVQ
- 一篇介绍 基于独立分量分析和矢量量化的说话人识别 的ＣＡＪ文档-An Introduction Based on Independent Component Analysis and Vector Quantization for Speaker Recognition CAJ document
ICA-R
- 一种改进的ICA-R算法。ICA-R意为参考信号独立分量分析，较ICA有很多优点。-An Improved ICA-R algorithm. ICA-R is intended as a reference signal independent component analysis, there are many advantages than ICA.
eeglab_current
- 用于进行eeg独立分量分析的多个函数，可以直接调用-EEG used for a number of independent component analysis function, can directly call
fastica
- matlab 独立分量分析 fastica,icaplot,remmean,whiten，盲源分离,去均值,白化处理-matlab independent component analysis fastica, icaplot, remmean, whiten, blind source separation to the mean, whitening treatment
fastfixedpoint
- 独立分量分析(Independent Component Analysis，简称ICA)是近二十年来逐渐发展起来的一种盲信号分离方法。它是一种统计方法，其目的是从由传感器收集到的混合信号中分离出相互独立的源信号，使得这些分离出来的源信号之间尽可能独立。它在语音识别、电信和医学信号处理等信号处理方面有着广泛的应用，目前已成为盲信号处理，人工神经网络等研究领域中的一个研究热点。 本文简要的阐述了ICA的发展、应用和现状，详细地论述了IC
f2007421165913
- 运用独立分量分析的特征矩阵的联合近似对角化（JADE法） 希望有用-The use of independent component analysis of the characteristic matrix of the joint approximate diagonalization (JADE Act) seek to help
chengxu
- 这是关于独立分量分析的源代码，非常好用，欢迎大家下载-This is on the independent component analysis of source code, very easy to use, welcome everyone to download
ICA_demo_fMRI
- 快速独立分量分析（FastICA）源码及ICA在MRI图像中应用的例程。-Fast independent component analysis (FastICA) and ICA source images in MRI applications routines.
InforMaxICA
- 基于Informax判据的ICA算法，属于独立分量分析的一种。-Informax the ICA-based criterion algorithm, belonging to an independent component analysis.
multimoto_ica_pca_process_program
- 独立分量分析结合主成份分析，适合于脑电信号处理-Independent component analysis combined with principal component analysis, is suitable for treatment EEG
ICA
- 独立分量分析代码（matlab编写）有很强的试用价值-Independent Component Analysis code (matlab preparation) has a very strong trial value
fpica
- 基于fastICA的独立分量分析算法中的核心算法-Based on the FastICA Algorithm for Independent Component Analysis of the core algorithm
tuxiangfenli
- 通过对独立分量分析算法的研究，介绍了该算法的基本模型及目前应用最广泛的快速定点ICA算法的数学原理．通过仿真试验结果表明，用该算法对随机混合的3幅图像进行盲分离，取得了理想的效果．-By independent component analysis algorithm, introduced the algorithm for the basic model and is currently the most widely used f
FastICA
- 一个最新的快速独立分量分析工具箱，很有用-The latest fast independent component analysis toolbox, useful
ica
- 一篇介绍独立分量基础知识以及其实现的ppt。-Introduced a basic knowledge of independent component as well as its realization ppt.
fsfdwt
- 采用独立分量分析的音频数字水印DWT算法，包括水印的嵌入、提取、和常用的几种攻击测试。-Using independent component analysis of the audio digital watermark DWT algorithm, including the watermark embedding, extraction, and commonly used to test several attacks.