搜索资源列表
FastICA
- FastICA独立分量分离，应用于音频信号分离。-realize the separation of music signal。
icaplot
- 可以实现ICP以后对分离出的独立分量画图，非常方便的进行-it can plot the ICA
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
rk4
- 改进的四阶龙格库塔算法，Improved fourth-order Runge-Kutta algorithm另带独立分量法程序-Improved fourth-order Runge-Kutta algorithm
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
ICALABIPv2_0
- ICA算法可以将噪声信号分解为一系列独立的分量（ICs），这样就可以对各独立分量进行单独的研究和分析。首先叙述了柴油机噪声信号的特性。预测模型表明：发动机噪声信号满足ICA计算的要求。然后介绍了ICA模型的相关理论。举例说明ICA方法分离信号的有效性，以及ICA方法对小能量噪声的分离的有效性。连续小波变换来显示了各独立分量ICs在时频域内的特性。由采集信号分离得到噪声源信号可以作为发动机的理论预测和设计依据。-he ICA algorithm can be decomposed into a s
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
- 学习盲源分离的独立分量分离，可以作为学习盲源分离的基本程序-Learning blind source separation independent component can be used as learning the basic procedures for blind source separation
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
shanbian_ICA090903
- 用动态独立分量进行闪变检测，用于电能质量闪变检测仿真，构造和分解闪变信号频谱图-With dynamic independent component to flicker, flicker detection for power quality simulation, construction and decomposition of flicker spectrum
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.
ICAbook
- 此书《独立分量分析的原理与应用》是一本非常好的书，适合通信，声纳，地震等等从事这方面研究的技术人员。-The book, " Independent Component Analysis Theory and Application" is a very good book, for communications, sonar, seismic research in this area and so the technical staff.