搜索资源列表
ICA
- fastica的源代码 有关数据的零均值处理，白化，以及寻找解混矩阵的实现代码-fastica data about the source code of zero mean processing, bleaching, and to find solutions to achieve mixing matrix code
FastCIA
- FastICA 快速独立成分分析 源码、实例-IndependentComponentAnalysis
keyongICA
- fastICA用于信号处理。能实现对通信信号的分离-FastICA used in signal processing. Can realize the separation of communication signals...
fast-ICA.RAR
- FASTICA代码，用于脑电信号分析，有实例。-FASTICA CODE，used for EEG signal analysis，EXAMPLE
kurt_FastICA
- 基于峭度的盲源分离，采用FastICA技术，适合初学者-BSS based on kurtosis by FastICA
FastICA_negentropy
- 基于负熵的盲源分离，使用FastICA技术，适合初学者-BSS based on negentropy by FastICA
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.
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
- 快速主分量分析方法，是经典的盲信号处理方法。可参考用-Fast principal component analysis method, is a classic blind signal processing methods. May reference
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
- 基于独立成分分析混合图像盲源分离技术与研究-Technology and Research mixed image separation by Independent Component Analysis
ica
- fastica 独立成分分析 混合图像 毕业设计源程序-Independent component analysis fastica mixed image source Graduation
ICA
- 用fastica进行信号分离，用的是matlab编程-With fastica signal separation, using matlab programming
FastICA_25
- 快速ICA分析.快速独立分量分析。给出实例并分解-Fast ICA.FASTICA(mixedsig) estimates the independent components given multidimensional signals.
FastICA
- 快速独立成分分析算法，尤其适用于脑电信号解混。-Fast ICA
FastICA
- Fast ICA 语音信号盲源分离代码-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)
uope
- 复数信号的fastICA算法,希望对大家有所帮助哦,不错的源码(FastICA algorithm of the complex signal, hope to be of oh, good source)
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