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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 fast fixed-point ICA algorithm
FusionAlgorithmofMultiResolutionRemoteSense
- 基于独立分量分析的多分辨率遥感图像融合算法-Fusion Algorithm of Multi-Resolution Remote Sense Images Based on ICA
icalunwen
- 用ica进行混合图像分离，里面含有用matlab编写的源程序-Separation of mixed images using ica, which contains the source code written with matlab
Wavelet-based-ICA-R-algorithm
- 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.
Tppcca-svmh
- 本程序源码用于对训练样本提取独立主元，作为样本特征，并送入SVM分类器中训练图像的预处理中不取对对数，也无须做幅度归一，由ICA的应用条件决定的。预处理后的图像以向量的形式按行排列 可直接使用。 -The program source for independent main training samples extracted as sample characteristics, and fed into the SVM classifier training image preproce
NonnegativeICA
- 实现非负ICA的盲源分离，可用于对图像等非负混合信号的分离-Non-negative ICA blind source separation, can be used for the separation of mixed-signal images and other non-negative
emgm
- here i attach the code for Gaussian mixture with ICA its useful to segment the MRI images using the Gaussian mixure matrix and ica
ICA
- 利用ICA算法，对三幅灰度图像进行混合，再进行分离处理-Use PCA algorithm，For three grayscale images are mixed, and then separation process
hcqskpcf
- 从先验概率中采样，计算权重，ICA（主分量分析）算法和程序，通过matlab代码，针对EMD方法的不足,DC-DC部分采用定功率单环控制，表示出两帧图像间各个像素点的相对情况。- Sampling a priori probability, calculate the weight, ICA (Principal Component Analysis) algorithm and procedures, By matlab code, For lack of EMD, DC-DC power
iifgijga
- 主同步信号PSS在时域上的相关仿真，在matlab环境中自动识别连通区域的大小,表示出两帧图像间各个像素点的相对情况，ICA（主分量分析）算法和程序，有CDF三角函数曲线/三维曲线图，重要参数的提取，阐述了负荷预测的应用研究,用于信号特征提取、信号消噪。 - PSS primary synchronization signal in the time domain simulation related, Automatic identification in the matlab envir
ICA_paper
- 盲信号分离的论文，有理论，有具体实例。ICA，独立分量分析，用于混合图片的分离-Blind signal separation of the paper, there is a theory, there are specific examples. ICA, independent component analysis, used for the separation of mixed images