搜索资源列表
signal_seg
- 利用独立分量分析方法对三个信号进行分离，入门学习-The use of independent component analysis method to separate the three signals, Introduction to learning
cardoso_introBSS
- 基于独立分量分析的有关盲信号处理的国外权威经典论文-Independent component analysis based on blind signal processing of the foreign authority of classic papers
trained_blindandsemi-blinddetection-matlab
- 一篇基于独立分量分析（ICA）的盲信道MATLAB程序-1 Based on Independent Component Analysis (ICA) for blind channel MATLAB program
h2kk3h4
- Rib Suppression for Enhancing Frontal Chest Radiographs Using Independent Component Analysis
dwt2
- 本文提出了一种基于独立分量分析的音频数字水印方法。嵌入水印时,对原始音频文件进行一级小波分解,在分解 得到的逼近分量中利用随机混合方法嵌入水印后进行小波逆变换形成嵌入水印的音频文件。仿真实验结果表明这种方 法的强鲁棒性和可行性。-Abstract:Audio p roduction is one of the important digital multimedias, which transmit becomes more and more convenient. To p rev
my_function_1
- ica 核独立主元分析（kernel independent component analysis)软件包-kica
ICA2
- Independent Component Analysis for 2 media files, matlab code
ICA_AND_PCA
- 关于独立分量分析和主成分分析的区别，初学者可以-the difference between independent component analysis and principal component analysis ，beginner can look at it
kica
- 核独立成分分析的相关文章，非常经典的文章，适合初学者-matlab kernel independent component analysis,with demostration,very useful to PR lover
FastICA
- Independent component analysis (ICA) on image.
icaFacesCode
- Based on Bartlett, Movellan, & Sejnowski (2002). Face Recognition by Independent Component analysis.
ica1_1
- Independent component analysis example using MATLAB
kernel-ica1_2
- 核独立分量分析，一种基于核函数的独立分量分析方法-Kernel Independent Component Analysis, a Kernel-based Independent Component Analysis! !
liu99comparative_face_rec
- The relative usefulness of Independent Component Analysis (ICA) for Face Recognition is described.
exp_14_Independent_component_analysis_(ICA)_of_mix
- 醫學影像處理實驗-Independent component analysis of mixed music files學習如何使用 ICA，分離出音樂檔案的主旋律及和音樂-Independent component analysis of mixed music files
MATLAB_Medical_Image_Process_Experiments
- MATLAB医学影像处理实验(内含14个原代码及教学的说明) (1)Plot a sine function using MATLAB, and write the data into a file (2)Read data from a file, plot a SINC function, and append the result back to the same file (3)Plot a Gaussian distribution using MATLAB (4)Fo
ICA
- 本文件是关于独立成分分析的文章，对与盲水印检测和提取有帮助，值得一看。-This document is an article on the Independent Component Analysis for blind watermark detection and extraction with the help, worth a visit.
ICA
- 本文首先概述了独立成分分析与盲信号分离， 主成分分析的关系， 然后系统地介绍了该技术的基本概念和数据模型， 对现今比较流行的各种独立成分分析算法进行了剖析和总结。最后对独立成分分析的发展及应用前景作了展望-In this paper, an overview of independent component analysis and blind signal separation, principal component analysis of the relationship, and the
niscode-1_0
- 稀疏表征算法。图象ICA，独立成分分析算法-independent component analysis in natural images
RADICAL_1_2
- RADICAL for Independent component analysis