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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
qiaodu
- 基于峭度的独立分量分析，包括并行提取和串行提取的程序-ICA based on kurtosis analysis, including parallel and serial extraction procedures for extracting
ML
- 基于最大似然估计的独立分量分析算法，包括随机梯度算法，相对梯度算法，快速不动点算法3个程序-Based on maximum likelihood estimation of independent component analysis algorithms, including stochastic gradient algorithm, the relative gradient algorithm, fast fixed-point algorithm for three programs
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 knowledge of the signal to separate
fastICA_imag
- 基于快速独立分量分析盲复原算法的混合图像分离-Independent component analysis based on fast recovery algorithm for blind separation of mixed images
q
- 基于松弛因子的快速独立分量分析算法的遥感图像分类技术-Relaxation factor based on the fast Independent Component Analysis Algorithm for remote sensing image classification techniques
libsvm-errorcode
- 新独立分量分析的算法，主要用于盲信号的分离计算-The newly independent component analysis algorithms, mainly for blind signal separation of the calculation
fastica
- fastica定点独立分量分析方法非线性函数选择tanh(a1y)-fastica fixed-point independent component analysis of nonlinear function selection tanh (a1y)
BSS_Demo4SP_20Mar2k5
- 一个盲源分离的GUI界面，本程序可完成语音信号的独立分量分析。-A blind source separation GUI interface, this program can be completed independent component analysis of speech signals.
fastica
- 快速独立分量分析的工具包。 FastICA工具包。 网友提供，非官方版本。-Fast Independent Component Analysis Toolkit. FastICA kit. User provided, unofficial version.
ICA
- 独立分量分析方法的应用方面一些文章，希望对大家有用-Independent Component Analysis and the application of some articles, we want to be useful
ICA-NET
- 独立分量分析法结合神经网络用于股票价格预测-Integrating independent component analysis-based denoising scheme with neural network for stock price prediction
FastICA_2.5
- 独立分量分析法工具箱，MATLAB语言，其中包括许多例子.-Independent component analysis toolbox, MATLAB language, including many examples.
BSS
- 盲源分离算法的几篇文章应用 【基于独立分量分析的脑电中眼电伪迹消除】【基于负熵和智能优化的盲源分离方法】【基于小波消噪和盲源分离的信号奇异点检测方法】-Blind source separation algorithm applied 【several articles based on independent component analysis of EEG ocular artifact】 【intelligent optimization based on negative entr
jadeR
- 独立分量分析的程序，MATLAB环境下编写的，采用的是JADE方法，可用来进行盲源分离-Independent component analysis program, MATLAB environment prepared by the JADE method can be used for blind source separation
proganm
- 非线性独立分量分析(ICA)源码,主要是用于非线性ICA进行盲源分离算法的函数-Nonlinear independent component analysis (ICA) source, mainly for non-linear ICA for blind source separation algorithm function
05572430
- 提出了一种改进的独立分量分析方法对脑电信号进行去伪迹消噪，取得了相当不错的效果-An improved method of independent component analysis to EEG artifact noise cancellation, very good results achieved
CICA
- 还参考量独立分量分析(ICA-R)程序与文档-Also refers to the amount of independent component analysis (ICA-R) procedure and documentation
fastica
- 基于fast独立分量分析方法实现盲源分离-Fast independent component analysis method based on blind source separation to achieve
Bss4Speech
- 这是基于负熵方法的音频信号分离的固定点独立分量分析方法的Matlab程序。-This is based on negative entropy method of audio signal separation of fixed-point independent component analysis of the Matlab program.