搜索资源列表
ICA_demo_fMRI
- 快速独立分量分析（FastICA）源码及ICA在MRI图像中应用的例程。-Fast independent component analysis (FastICA) and ICA source images in MRI applications routines.
ICA
- 独立分量分析代码（matlab编写）有很强的试用价值-Independent Component Analysis code (matlab preparation) has a very strong trial value
DWTwithICA-R
- 基于小波的ICA-R算法，适合混合图像的分离。具有速度快等优势。-Wavelet-based ICA-R algorithm, suitable for the separation of mixed images. With a speed advantage.
tuxiangfenli
- 通过对独立分量分析算法的研究，介绍了该算法的基本模型及目前应用最广泛的快速定点ICA算法的数学原理．通过仿真试验结果表明，用该算法对随机混合的3幅图像进行盲分离，取得了理想的效果．-By independent component analysis algorithm, introduced the algorithm for the basic model and is currently the most widely used f
icaimageprocessing
- 独立分量分析ICA，用于图像处理，程序不错，可以参考-Independent Component Analysis ICA, for image processing, the procedure well, can refer to
ica_example
- ICA人脸识别算法实例matlab源码，已测试过，程序能运行，且识别率较高-ICA face recognition algorithm matlab source code examples have been tested, the program will be able to run, and a higher recognition rate
ica
- 一篇介绍独立分量基础知识以及其实现的ppt。-Introduced a basic knowledge of independent component as well as its realization ppt.
ICA_with_Reference
- We present the technique of the ICA with Reference (ICA-R) to extract an interesting subset of independent sources from their linear mixtures when some a priori information of the sources are available in the form of r
matlab
- matlab的一个人脸识别系统 包括gabor，pca，ica的源码-matlab a face recognition system includes gabor, pca, ica source
IcaDWTFusion
- 一种新的基于ICA及小波变换的图像融合算法-A new wavelet transform based on the ICA and the image fusion algorithm
A_comparative_PCA_and_ICA_for_ECG
- 比较了PCA和ICA在心电提取方面的性能-Comparison of the PCA and ICA in mind aspects of the performance of electric extraction
ICA_method_with_global_optimal_property_based_on_w
- ICA method with global optimal property based on wavelet transforma tion :ica和小波用于图像分析-ICA method with global optimal property based on wavelet transforma tion: ica and wavelet for image analysis
featureextraction
- 利用MATLAB实现一维信号时间序列的，特征提取，其中包括ICA和基于小波包的方法。-Use MATLAB to achieve one-dimensional time series signal, feature extraction, including the ICA and the method based on wavelet packet.
IndependentComponentAnalysisAlgorithms
- 关于ICA算法的详细介绍，内容丰富，希望对大家有所帮助。-ICA
prtools3.1.7
- 模式识别 MATLAB 的工具箱,比较实用,包括SVM,ICA,PCA,NN等等模式识别算法.-Pattern Recognition Toolbox for MATLAB, more practical, including the SVM, ICA, PCA, NN pattern recognition algorithm and so on.
Filterbankbasedblindsignaseparationwithestimatedso
- 采用滤波器组，将盲分离与声源定位结合在一起。滤波器组中分别进行子带处理，并且在每个子带中进行声源定位，最后综合所有子带估计的方向得到多个声源的方位信息，同时将声源信息作为ICA分析的约束条件，可以在色噪声及多得到更好的盲分离效果。其优势在于用滤波器组进行多次的估计声源方向，再加以合适的权值均衡后即可得到更优的估计。-The use of filters will be blind source separation and sound
Bell_Sejnowski_ICA
- 两路语音信号的Bell-Sejnowski ICA算法 -Basic Bell-Sejnowski ICA algorithm demonstrated on 2 speech signals.
BSS_Demo4SP_20Mar2k5
- 定点频域ICA，使用高斯函数、负熵最大化来处理语音信号分离问题的演示-FIXED-POINT FREQUENCY DOMAIN ICA with GENERALIZED GAUSSIAN FUNCTION BASED NEGENTROPY APPROXIMATION for SPEECH SIGNAL SEPARATION
PCA-(ICA)
- 主成分分析程序包，包括主成分分析和独立主成分分析两个程序源代码。-Principal component analysis package, including principal component analysis principal component analysis and independent source code for both procedures.
icamatlabcodeforsignalprocessing
- ica语音信号分离的程序，带有实验录音和图片，可直接进行操作和原代码分析。-ica voice signal separation procedure, with experimental audio and picture, can be directly carried out the operation and analysis of the original code.