搜索资源列表
pca(ICA)
- PCA(主成分分析法)和ICA(独立成分分析法)的MATLAB源程序,他们是目前图像处理比较经典的特征提取方法
模式识别matlab工具箱,包括svm,ICA,PCA,NN等等模式识别算法
- 模式识别matlab工具箱,包括svm,ICA,PCA,NN等等模式识别算法
用matlab实现的ica人脸识别程序
- 用matlab实现的ica人脸识别程序, 能实现, 识别率还比较高,Ica with matlab realize the face recognition process, to realize, the recognition rate is still relatively high
matlab-PCA 基于matlab的PCA人脸识别完成程序
- 基于matlab的PCA人脸识别完成程序,包含特征值与特征向量的提取、训练样本以复制到matlab即可,成功运行,及最后的识别检验-A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learnign for face recognition
ICA
- ICA(独立成分分析法)的MATLAB源程序,他们是目前图像处理比较经典的特征提取方法-One kind of ica algorithm, it is useful
AMulti-sourceImagFusionAlgorithmUsingICA
- 一种基于ICA的多源图像融合算法为了尽可能 达到这一要求,在分析盲源分离理论的基础上,提出了一种基于独立分量分析(ICA)的图像融合算法。-ICA-based multi-source image fusion algorithm in order to meet this requirement as far as possible, in the analysis of blind source separation based on the theory put forward bas
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
- 模式识别中运用ICA进行特征提取的matlab代码-Pattern Recognition in the use of ICA for feature extraction matlab code
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.
hhh
- :由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效, 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取, 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性. 在此基础上, 应用 I C A基函数作为滤波器, 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验. 结果表明, 本方法明显优于传统的均值滤波和小波去噪 方法, 为强背景噪声下弱信号的检测提供 了新的途径.-: As many of the t
my_function_1
- ica 核独立主元分析(kernel independent component analysis)软件包-kica
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
NovelICADomainMultimodalImageFusionAlgorithm
- 一种新的ICA域 图像融合算法,本文提出了一种改进的ICA 域多模图像融合算法。-A new ICA domain image fusion algorithm
nmf
- 非负矩阵分解法,这一种新型的子空间分解方法,增加了非负性约束,比PCA、ICA更有效-Non-negative matrix factorization method, which a new type of sub-space decomposition method, an increase of non-negative constraint, compared with PCA, ICA is more efficient
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
faceinformax
- 图像 处理基于改进的 ICA算法,进行特征提取-improvedica
ICA
- 脑电波ICA算法进行脑电波提取有用的波段,用ICa 算法进行波形数据分析,得到有用矩阵及合适数据-ICA algorithm to EEG brain waves extracted useful band, with ICa algorithm waveform data analysis, a useful and appropriate data matrix
ContourletICA
- 利用Contourlet、ICA、混沌粒子群分离去噪-Using Contourlet, ICA, separation of chaotic particle swarm denoising
Matlab-Blind-signal-separation
- 盲源分离问题的matlab程序,采用ICA方法-Matlab problem of blind source separation program, the use of ICA methods
ica-matlab
- 脑电信号 分析 fast ica去噪,去除心电,眼电,肌电,效果不错-fast ica for eeg