搜索资源列表
FastICA_2.2
- fast fixed-point ICA算法的Matlab实现-fast fixed-point algorithms ICA Matlab
FastICA_2.3
- 快速ICA算法源码，有兴趣的读者可以转换成C-fast algorithm source, interested readers will be converted into C
FastICA25
- 快速ICA算法，在盲源分离中有很大的用处。-fast algorithm, the blind source separation is very useful.
GrayShow
- 快速ICA算法，用于盲信号处理，提取信号的独立分量，用于图象识别等-fast algorithm for blind signal processing, signal extraction of independent component for image recognition, etc.
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- 一篇经典的关于ICA的快速固定点算法，值得看看。-A classic on the fast fixed-point ICA algorithm, it is worth to see.
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 projection pursuit. It features an
fp
- 基于ICA的独立分量分析，目标函数是负熵，快速不动点算法-ICA-based independent component analysis, the objective function is negative entropy, fast fixed-point algorithm
fastKICA
- 盲源分离FastICA、matalab程序，-FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA
fastICA
- 在诸多ICA算法中，固定点算法 (也称FastlCA)以其收敛速度快、分离效果好被广泛应用于信号处理领域。该算法能很好地从观测信号中估计出相互统计独立的、被未知因素混合的原始信号。-In many ICA algorithms, fixed-point algorithm (also known as FastlCA) for its fast convergence and good separation effect is widely used signal processing. The
FastICA134
- 在诸多ICA算法中，固定点算法 (也称FastlCA)以其收敛速度快、分离效果好被广泛应用于信号处理领域。该算法能很好地从观测信号中估计出相互统计独立的、被未知因素混合的原始信号。-In many ICA algorithms, fixed-point algorithm (also known as FastlCA) for its fast convergence and good separation effect is widely used signal processing. The
FastICA
- fastica is fast version of ica. It is used for signal separation and has wide applications-fastica is fast version of ica. It is used for signal separation and has wide applications.....................................................................
FICA
- ica快速算法源程序，算法分析，包括标准化，白化等分析-ica fast algorithm source code, algorithm analysis, including standardization, albino analyzed
fastica.m
- the fast version of ica algorithm
XHQYJSDZS
- 为了快速准确地计算电噪声奇异性, 在介绍信号奇异性计算方法的基础上, 将其引入到电噪声信号分 析中, 提出一种新的基于多重分形奇异性指数计算信号电噪声的方法。新方法利用多重分形来提取电噪声中可 以表达信号内在细节特征的奇异点Hê lder指数, 通过计算电噪声中Hê lder指数的差异来进行噪声分析。通过 对实测电迁移和光耦电噪声的计算分析表明, 电迁移后期奇异性指数会发生突变 而良品光耦器件和次品光耦 器件在信号噪声的平均H ê lder指数方面差异明显。实验结果证明本方法是一
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- 对观测信号去均值是 ICA 算法最基本和最必须的预处理步骤，其处理过程是 从观测中减去信号的均值向量，使得观测信号成为零均值变量。-Ella Bingham and Aapo Hyv鋜inen, A fast fixed-point algorithm for independent component analysis of complex valued signals , International
zbnbpgmh
- gmcalab 快速广义的形态分量分析，是机器学习的例程，有信道编码，调制，信道估计等，ICA（主分量分析）算法和程序，快速扩展随机生成树算法。- gmcalab fast generalized form component analysis, Machine learning routines, Channel coding, modulation, channel estimation, ICA (Principal Component Analysis) algorithm and pr
cndezzny
- ICA（主分量分析）算法和程序，基于chebyshev的水声信号分析，gmcalab 快速广义的形态分量分析，采用加权网络中节点强度和权重都是幂率分布的模型，matlab小波分析程序。- ICA (Principal Component Analysis) algorithm and procedures, Based chebyshev underwater acoustic signal analysis, gmcalab fast generalized form component an
219105
- fast Ica matlab算法,经过试验验证了,希望对大家有用处()
pca_ica
- PCA、快速ICA算法，实现信号的分离(PCA and fast ICA algorithm to realize the separation of signals)
改进空域滤波
- 集合经验模态分解算法和基于负熵最大的Fast ICA算法对心磁信号的去噪处理(Ensemble empirical mode decomposition algorithm and Fast ICA algorithm based on maximum negative entropy for denoising processing of magnetic heart signals)