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ica独立分量分析
- 独立分量分析ica代码，用matlab编写的，希望有所帮助
独立分量分析（maltab代码）用于图象处理得方法
- 独立分量分析（maltab代码）用于图象处理得方法-independent component analysis (maltab code) used in image processing methods
BSS_FastICA_matlab.用于盲信号分离的独立分量分析和主元分量分解
- 用于盲信号分离的独立分量分析和主元分量分解以及独立分量分解的代码,For Blind Signal Separation of independent component analysis and principal component decomposition and independent component decomposition of the code
ica.rar
- 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.
109201268icaML.rar
- 独立分量分析的matla b源代码。可用于盲信号处理和信号分离等等。,Independent Component Analysis matla b source code. Can be used in signal processing and blind signal separation and so on.
FASTICA.rar
- 独立分量分析 方法 压缩 与 解压 图像。 MATLAB 实现，有测试平台。,Independent Component Analysis image compression and decompression. MATLAB realization of a test platform.
ica
- 可以分离语音的独立分量分析程序 可以实现瞬时和卷积混合的分离 相当好用-ica_f.m bsepf2 is the main program and it needs correlation.m decorrelation.m permutation.m sepfilter.m. You also need to visit ftp://sig.enst.fr/pub/jfc/Algo/Joint_Diag/ and get a matlab
FastICA_25
- 独立分量分析的算法，用于分离出独立分量，用于图像降维，特征提取-Independent component analysis algorithms, used to separate out the independent component for the image dimensionality reduction, feature extraction
arithmetic_FastICA
- Matlab环境下的基于独立分量分析（ICA）算法，信号处理，非常重要！--Matlab environment based on the independent component analysis (ICA) algorithm, signal disposal , very important!
fastica
- 用matlab实现的最大化负熵的独立分量分析方法，作了正交化处理，可以同时分离出所有的独立分量（无噪声条件下）-Using matlab to achieve the maximization of the negentropy method of independent component analysis, orthogonal made of processing, can be isolated from all of the independent component (no nois
ICA
- 完整的独立分量分析(ICA)程序包,可以用来进行盲源分离-An ICA program group which can be used to separate signals.
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 fast fixed-point ICA algorithm
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
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.
signal_seg
- 利用独立分量分析方法对三个信号进行分离，入门学习-The use of independent component analysis method to separate the three signals, Introduction to learning
ica2
- 基于峭度极大的一种独立分量分析的算法，内有详细介绍每一步程序的作用和意义-Based on Kurtosis of a great independent component analysis algorithms, with detailed procedures for every step of the role and significance of
corran
- 基于独立分量分析方法的实际分析应用，在图像处理中的新颖性很有实际价值-One-way repeated measures ANOVA is used to analyze the relationship between the independent variable and dependent variable. It is an extension of the correlated-groups t test, where the main advantage is controllin
cardoso_introBSS
- 基于独立分量分析的有关盲信号处理的国外权威经典论文-Independent component analysis based on blind signal processing of the foreign authority of classic papers
dwt2
- 本文提出了一种基于独立分量分析的音频数字水印方法。嵌入水印时,对原始音频文件进行一级小波分解,在分解 得到的逼近分量中利用随机混合方法嵌入水印后进行小波逆变换形成嵌入水印的音频文件。仿真实验结果表明这种方 法的强鲁棒性和可行性。-Abstract:Audio p roduction is one of the important digital multimedias, which transmit becomes more and more convenient. To p rev
MIMO_OFDM
- 本文在研究了MIMO-OFDM系统以及独立分量分析的基础之上提出了一种适用用于MIMO-OFDM系统的盲多用户检测方法，基本思想是将现有的ICA算法应用到MIMO-OFDM系统中对多用户进行信号恢复。-MIMO_OFDM multiuser detection