搜索资源列表
独立分量分析
- 人脸识别的基于独立份量分析文章，英文原版，pdf格式。-an article about face recogoniton based on independent component analysis . original english edition,pdf format.
FastICA_2.4
- 一种基于独立分量分析的改进算法． 可用于瞬时混合的盲分离．-based on independent component analysis algorithm improvements. For transient mixed Blind separation.
icaML
- 用最大相似性方法实现独立分量分析算法的matlab代码，可用于盲信号处理和图像滤波器构造。-with the greatest similarity method independent component analysis algorithm Matlab code can be used to blind signal processing and image filter structure.
Basic_of_ICA
- 基于独立分量分析进行盲信号分离的原理简介和例程-based on independent component analysis for the Blind Signal Separation Principle and routines
itpp-3.10.1.tar
- 独立分量分析程序FASTICA的C＋＋源代码-FASTICA procedures for the C + + source code
JnS-1.2(cardoso)
- cardoso的独立分量分析（ICA）的特征矩阵联合近似对角化（JADE）方法。-Cardoso independent component analysis (ICA) features similar to the joint matrix diagonalization (JADE ) method.
flexica
- 这是实际环境中语音信号盲分离的最新程序代码，用于语音信号独立分量分析ICA。解压后运行，输入录制的混合语音信号即可看到结果。-this is the actual environment of the speech signal separation blind to the latest code, Voice Signal for independent component analysis ICA. Unpacked operation, the importation of record
FastICA
- FastICA算法，用于信号的独立分量分析，在ICA的基础上加快了收敛速度，有更高的效率！并且增加了图象界面，使用方便！-FastICA algorithm, the signal for an independent component analysis, at the ICA on the basis of accelerating the convergence rate, a more efficient! And to increase the image user interface
ICAforImage
- Matlab环境下的基于独立分量分析（ICA）算法的图像混合与分离仿真程序．-Matlab environment based on the independent component analysis (ICA) algorithm for image simulation mixed with the separation process sequence.
ICAforsound
- Matlab环境下的基于独立分量分析（ICA）算法的声音混合与分离仿真程序-Matlab environment based on the independent component analysis (ICA) is the voice mixed with the separation of simulation program
ICA
- 基于负熵最大的独立分量分析算法，可以将独立的混合信号分离-Based on the negative entropy of the largest independent component analysis algorithm can be a separate mixed-signal separation
vbICA1_0.tar
- 该程序为变分贝叶斯独立分量分析算法，可以在强噪声环境下实现混合信号的盲分离，而且效果很好。-This code is the vbICA algirithm, which can separate the mixed signals in strong noisy environment, and the result better than other algorithms.
fastICA
- FastICA固定点算法软件包，包括原始图像数据和相应的MATLAB程序，是独立分量分析（ICA)学习者难得的宝贵学习资源-FastICA
ICA
- 独立分量分析是20世纪末发展起来的一类多通道信号分解方法，是信号处理技术发展中的一项前沿热点。這些論文介绍预备知识。供从事信号处理的科技工作者自学或进修选用。... -Independent component analysis is developed in the late 20th century a class of multi-channel signal decomposition method is signal processing technology in the devel
jade
- 基于四阶累积量的联合对角化，其中给出两种四阶累积量计算方法，方便理解。这个算法还是比较难的，可以参看下独立分量分析中的jade算法-Fourth-order cumulant-based joint diagonalization, which gives two fourth-order cumulant method, easy to understand. This algorithm is quite difficult, you can see under the jade indep
123ica_cag
- 本程序主要用于基于ica独立分量分析，主要利用ica提取图像的特征-This procedure is mainly used for ica-based independent component analysis, the main use of the image feature extraction ica
ICALABSPv2_2
- 很好很强大的独立分量分析程序，这个大家都可以用来-A very powerful independent component analysis program, take a look at this we all can be used to
FastICA
- 快速独立分量分析，附有实验数据，亲测实用(Fast independent component analysis with experimental data)
ICA
- 主要是运用ICA算法提取独立分量ICs,建立相关统计量，用于TE过程的故障检测(The ICA algorithm is used to extract the independent component ICs and establish correlation statistics for fault detection in TE process.)
MATLAB ICA独立分量分析算法
- MATLAB ICA独立分量分析算法，用于信号的盲源分离。该mat文件为快速独立分量分析算法，包括去均值，白化，fastica