搜索资源列表
itpp-3.10.9
- fastica 等算法的 C++实现 可以用于 mathematical, signal processing, speech processing, and communications -ICA C algorithm can be used in mathematical achievement. signal processing, speech processing, and communications
FastICA_2.1
- fastICA的matlab实现。快速独立成分分离算法，用于去除图像或声音之间的 相关性。
fpica
- 基于fastICA的独立分量分析算法中的核心算法
FastICA_23
- 独立成分分析算法，定点独立成分分析。可以用于图像特征提取-fastica algorithm
FastICA_25
- 这是关于fastICA不定点算法的程序，运行环境为matlab，可实现盲信号分离-This is about non-fixed-point algorithm fastICA program, running environment for matlab, can realize blind signal separation
ICALAB_last
- 独立分量ica：快速ICA算法软件包是基于MATLAB程序实现的快速定点独立成分分析和投影寻踪算法。它具有一个易于使用的图形用户界面，以及强大的计算算法。-The FastICA package is a free (GPL) MATLAB program that implements the fast fixed-point algorithm for independent component analysis and proje
work
- 基于负熵的FASTICA的不动点算法，并行提取信号，独立分量分析-Based on negative entropy FASTICA the fixed point algorithm, parallel extract the signal, independent component analysis
fasticaalgorithm
- 对接收信号进行分离是信号处理过程中经常用到的，然而在完全不知道接受信号先验知识的情况下进行分离就是所谓的盲源分离，此程序就是重多盲源分离算法中重要的一种快速独立分量分析盲源分离算法——FASTICA-Separation of the received signal is the signal processing is often used, but do not know to accept in full prior knowle
whitenv
- fastICA的白化算法，是fastICA中的预处理步骤比较重要的-fastICA White arithmetic
fya
- 使用基于峭度的FASTICA盲分离算法，实现对四个亚高斯信号的分离，并从分离结果可总结出盲分离算法的两个不确定性。-FASTICA kurtosis-based blind source separation algorithm, to achieve the separation of the four sub-Gaussian signals, and the separation results can be summarized
fchao
- 使用基于峭度的FASTICA盲分离算法，实现对两个超高斯信号的分离，并从分离结果可总结出盲分离算法的两个不确定性。-FASTICA kurtosis-based blind source separation algorithm, to achieve the separation of the two super-Gaussian signals, and the separation results can be summarize
fchaoya
- 使用基于峭度的FASTICA盲分离算法，实现对亚高斯信号和超高斯混合信号的分离，并从分离结果可总结出盲分离算法的两个不确定性。-FASTICA kurtosis-based blind source separation algorithm to achieve sub-Gaussian and super-Gaussian mixed-signal separation, the separation results from the
1
- 一个简单的忙缘分离算法，采用fastica方法，简单易懂，适合初学者。-A simple busy margin separation algorithm, the fastica method, easy to understand, is suitable for beginners.
fastica2011.m
- fastica的索引文档 用于忙信号的分离算法-fastica的索引文档 用于忙信号的分离算法 用法需要斟酌
fastICAantiourlier
- 对四道源信号加入野值后的fastICA仿真，说明该算法受野值影响不大，比较稳健。-An exeperimen for FastIca of four resuoures with outliers.It shows the robustness of the algorithm
1-ICA
- 详细讲述了ICA的算法，以fastICA为例子，介绍，内容详细，很利于初学者理解。-A detailed account of the PCA algorithm to fastICA, for example, the detailed and very beneficial to the beginner to understand.
Fffasticaa
- 该算法为fastica的c＋＋版版本，有很好的分离效果。 -The algorithm for the fastica the c++ Version, good separation.
ICA
- fastica 快速ICA算法 去均值，白球化，迭代-fastica Fast ICA algorithm to the mean, the white ball, iterative
uope
- 复数信号的fastICA算法,希望对大家有所帮助哦,不错的源码(FastICA algorithm of the complex signal, hope to be of oh, good source)
基于负熵的FastICA
- 独立成分分析的Fast-ICA算法.可用于图像处理、信号分析、模式识别、人工智能(independent component analysis method based on negentropy.It can be used in image processing, signal analysis, pattern recognition and artificial intelligence)