搜索资源列表
JADE
- 实现盲信号分离算法中的JADE算法，该算法收敛速度快，分离效果好，能够实现复值信号的分离，比传统的FASTICA算法性能略好-Blind signal separation algorithm to achieve the JADE algorithm fast convergence, separation effect, to achieve the separation of complex-valued signal, than the traditional FASTICA sligh
fastica
- FastICA算法，又称固定点(Fixed-Point)算法，是由芬兰赫尔辛基大学Hyvä rinen等人提出来的。是一种快速寻优迭代算法，与普通的神经网络算法不同的是这种算法采用了批处理的方式，即在每一步迭代中有大量的样本数据参与运算。-FastICA algorithm, also known as fixed-point (Fixed-Point) algorithm, University of Helsinki, Finland by Hyvä rinen et al
ICA_algorithms_based_on_different_objective_functi
- 一共包含了5个ICA的算法，其中： fastica.m文件中的ICA算法是基于负熵的； m_fastica.m文件中的ICA算法是基于负熵的改进算法； fastica_kurt.m文件中的ICA算法是基于峭度的； fastica_ML.m文件中的ICA算法是基于互信息的； NLPCA.m文件中的ICA算法是基于非线性PCA的。-Contains a total of five ICA algorithm, in which: fastica.m file in the ICA
fastica
- fastICA主要的迭代算法，是对信号做独立分离使用的。-fastICA arithmetic
gui
- fastICA的信号分离的界面的算法表示，须使用相对的fastica算法-interface arithmetic
icaplot
- fastICA 算法的界面平台，主要用于信号的界面展示-fastICA
fpica
- fastICA算法的处理的其中的一部分，是关于信号的-fastICA
fasticag
- fastICA 算法中关于分离的部分，是算法中比较重要的-fastICA
FastICA11
- 先对三幅图像进行混合，然后采用FASTICA算法混合图像进行盲分离-First three images mixed, then FASTICA algorithm mixed image blind separation
FastICA-algorithm
- 利用独立分量分析中的FastICA算法对盲信号源进行了分离。最终通过实验结果表明，独立分量分析可以有效地实现分离。-FastICA algorithm using independent component analysis and blind source separation. Eventually through the experimental results show that the independent component analysis can be effectively
32615454156
- FastICA算法在语音信号盲分离中的应用，论文，值得一看-The FastICA algorithm speech signal blind separation papers, worth a visit
ICA2
- 首先将四个仿真信号混合，得到4组仿真信号，采用FASTICA算法进行盲源分离，得到源信号。-First four mixed signal simulation, emulation signals obtained four groups, using FASTICA blind source separation algorithm to obtain the source signal.
fastica
- 语音信号盲源分离算法--fastica算法源程序，基于matlab开发环境-Speech signal blind source separation algorithm- fastica algorithm source code, matlab development environment based on
ICA
- 基于负熵的fastica算法，绝对好使！-Fastica algorithm based on negative entropy, absolutely so!
FastICA_25
- fastica算法的matlab实现,比较简单，容易看懂-fastica algorithm matlab realize, is relatively simple, easy to understand
FastICA_25
- 基于独立分量分析的fastICA算法在各个方面运用的基本算法- FastICA algorithm based on independent component analysis is used in all aspects of the basic algorithm
FastICA
- 快速独立成分分析算法，尤其适用于脑电信号解混。-Fast ICA
Untitled3
- 基于FastICA的改良算法 去噪效果明显 有自适应性(The improved algorithm based on FastICA has obvious denoising effect and is adaptive)
ICA快速算法原理和程序
- FastICA算法是基于非高斯性最大化原则得到的一批处理算法。峭度和负熵都可以作为非高斯性的度量。(Advantages: applicable to any non-gaussian signal, blind separation algorithm with fast convergence speed and easy to use, without the need to choose the learning step, is the most widely used algorit
FastICA独立成分分析
- 可对信号进行快速分离，算法优于传统ICA。(The signal can be quickly separated, the algorithm is superior to the traditional ICA.)