搜索资源列表
fastICA_comoplex
- 复数信号的FASTICA算法，和ICA算法类似，但主要用于处理复数信号。
ICA2000_reprint.doc
- 具有带通选择性的ICA算法可以改善对于带通时间序列的分离以及对于周期性脑功能响应信号的提取. 因此本文提出的方案可将被估计信号, 如:周期性响应信号以及具有平滑空间分布的脑功能激活区, 的先验特性以特征选择的方式加入ICA算法用以提高对此类信号的估计-with selective ICA algorithm can be improved for the band pass time series, as well as for the
YOLi_ICASSP05
- 本文提出一种用于独立成份分析(ICA)的特征选择滤波方案用于改善ICA算法对关键独立成份(SOI)的分离和提取,关键独立成份在其信号样本数据的空间分布上具有一定特征. 本文以平滑滤波为例,表明加入此类特征滤波的ICA算法可以改善对于视觉功能区等平滑图象信号的提取. 因此, 这种特征滤波技术在估计具有平滑特性的脑功能成像方面具有潜在的应用价值.-for Independent component analysis (ICA) featur
icaMF
- ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2]
EASI
- ICA算法中的EASI算法的程序，以前在网上下的
边缘检测算法
- 该工具箱专为模式识别定制，主要是数字图像识别，比如特征提取、图像分类、PCA、LDA、ICA、DCT、RBF、RBE、GRNN、KNN、minimum distance、SVM等等
FastICA
- FASTICA是固定点算法（常称作快速ICA算法），是一种盲源分离方法。
基于快速ICA算法的混合图像分离（有程序）
- FASTICA的代码
盲源分离（快速ICA）算法
- 盲源分离（快速ICA）算法，matlab代码
cubica
- cubica算法performes ICA by diagonalization of third- and fourth-order cumulants simultaneously-cubica algorithm performes ICA by diagonalization of third- and fourth-order cumulants simultaneously
ica_v0.04
- ica语音分离算法，cadoso经典奉献-ICA algorithm of speech signal separating. contributed by Cadaso
YLiGRC04
- 本文提出一种基于增广拉格朗日法的非线性约束优化算法用于独立成份分析(ICA), 仿真试验结果表明此方法可以有效的用于独立成份的分离. -This paper presents a broad-based increase Lagrange method of nonlinear constrained optimization algorithm for the independent component analysis (ICA),
special FastICA
- 这次上传的代码是关于特征提取的主要算法之一：ica，其比pca要好-this code is uploaded on the main feature extraction algorithm : ica, better than the PCA
cfastica
- Fast ICA，一种ICA的快速算法，有完整的论文（两种格式，pdf和ps的）-Fast ICA, the ICA a fast algorithm, a complete paper (both formats, pdf and ps)
FastICA_2.4
- 一种基于独立分量分析的改进算法． 可用于瞬时混合的盲分离．-based on independent component analysis algorithm improvements. For transient mixed Blind separation.
icaML
- 用最大相似性方法实现独立分量分析算法的matlab代码，可用于盲信号处理和图像滤波器构造。-with the greatest similarity method independent component analysis algorithm Matlab code can be used to blind signal processing and image filter structure.
infomax
- infomax 算法，盲信号处理中很有帮助-INFOMAX algorithm, blind signal processing helpful
FastICA2.5
- 运用固定点算法实现快速的独立成分分析，实现代码为matlab-use of the fixed-point algorithms to achieve rapid Independent Component Analysis, to achieve code-Matlab
ICAbss
- 串音误差检测，利用ica算法实现盲信号分离，以及检测输入信号叠加分离后的误差-crosstalk error detection algorithm using ica Blind Signal Separation. the input signal detection and separation of superposition error
ica_ng
- 自己编的，基于自然梯度的盲源分离算法，如果想对自然梯度有所了解，可以参考Amari的经典文章。网络上一搜就行。-own series, based on the natural gradient algorithm blind source separation, if you want to understand the natural gradient. Amari can refer to the classic article.