搜索资源列表
ICA_PPT
- ICA算法的PPT介绍，简单易懂，不错的入门小手册-ICA algorithm PPT presentation, straightforward, good introductory booklet
Paris_ICA
- ICA领域大神Paris写的算法，通俗易懂，值得下载-Large areas of Paris wrote ICA algorithm God, straightaway, worth downloading
ica_Ikeda
- 一个不错的频域ICA算法，值得下载-A good frequency domain ICA algorithm, worth downloading
Informax
- 经典的最小互信息量ICA算法，Informax算法，值得下载-Minimum Mutual Information ICA algorithm, it is worth the download. .
Simple-Clustering
- Simple Clustering BY ICA
Minimum-Spanning-Tree
- Minimum Spanning Tree BY ICA
RBF-Interpolation
- SOLVE PROGRAM RBF Interpolation BY ICA
ica_basic_theory
- program ica Iin basic and theory by matlab
svm
- svm工具箱，程序与应用实例 scaleForSVM:归一化 pcaForSVM:pca降为预处理 fasticaForSVM:ica降为预处理 等-svm toolbox, procedures and application examples
FastICA
- 快速ICA，独立成分分析。是matlab格式的源代码。-Fast ICA, independent component analysis. Is matlab source code format.
ica
- 信号的稀疏表示就是将信号投影到正交变换基-Sparse representation of the signal is a signal to the orthogonal projection transform base
ioctl
- Written 1995-2000 by Werner Almesberger, EPFL LRC ICA.
visualization.tar
- 相比DeconvNet写得比较简洁易懂。但是原来代码里面给的数据似乎没法跑。所幸同作者还有一些代码用到了TCNN，比如action recognition，可以一起下载下来参考。这个代码主要特色就是tiled结构，可以用来参考，然后把里面ICA的优化函数换成RICA，Sparse Coding等等。总之，在这个代码里也了解了不少(比如line search等)。-DeconvNet well written and easy to understand compared to relativel
icml09-deepbeliefnetwork
- 相比DeconvNet写得比较简洁易懂。但是原来代码里面给的数据似乎没法跑。所幸同作者还有一些代码用到了TCNN，比如action recognition，可以一起下载下来参考。这个代码主要特色就是tiled结构，可以用来参考，然后把里面ICA的优化函数换成RICA，Sparse Coding等等。总之，在这个代码里也了解了不少(比如line search等)。-DeconvNet well written and easy to understand compared to relativel
fourierica
- FourierICA是一种无监管的自适应学习方法，用于盲源分离问题，将短时傅里叶变换STFT与独立分量分析ICA相结合。-FourierICA is an unsupervised learning method suitable for the analysis of bss.The method performs independent component analysis(ICA) on short-time Fourier transforms of the data.
XHQYJSDZS
- 为了快速准确地计算电噪声奇异性, 在介绍信号奇异性计算方法的基础上, 将其引入到电噪声信号分 析中, 提出一种新的基于多重分形奇异性指数计算信号电噪声的方法。新方法利用多重分形来提取电噪声中可 以表达信号内在细节特征的奇异点Hê lder指数, 通过计算电噪声中Hê lder指数的差异来进行噪声分析。通过 对实测电迁移和光耦电噪声的计算分析表明, 电迁移后期奇异性指数会发生突变 而良品光耦器件和次品光耦 器件在信号噪声的平均H ê lder指数方面差异明显。实验结果证明本方法是一
eeglab10.2.2.4b
- This contains original Matlab functions the EEGLAB (formerly ICA/EEG) Matlab toolbox, all released under the Gnu public license (see eeglablicence.txt). See the EEGLAB tutorial and reference paper (URLs given below) for more information. -This
paper1
- ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning
paper3
- Kernel Reconstruction ICA for Sparse Representation
paper5
- Kernel Reconstruction ICA for Sparse Representation