搜索资源列表
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.
独立分量分析（maltab代码）用于图象处理得方法
- 独立分量分析（maltab代码）用于图象处理得方法-independent component analysis (maltab code) used in image processing methods
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.
FastICA_2.5
- 可用于进行独立分量分析的matlab源码,可用来进行特征提取等-can be used to conduct an independent analysis of the Matlab component source code, which can be used for feature extraction, etc.
STICA
- 图像的统计独立分量分解程序包，可以用于人脸识别，非监督分类，信号提取等领域
FastICA_2.3forMatlab6.x
- 用Matlab6.x实现的快速独立分量分析算法
ICAforImageProcessing
- 用Matlab实现的用于图像处理的独立分量分析算法
ResearchonFaceImageRetrievalBasedonPrincipalIndepe
- 提出一种基于独立分量分析的内容特征,并用于人脸图像检索,得到一种基于内容的图像检索新方案. 该方案首先在降维空间提取出基于高阶统计特性的主独立内容特征(PICF) ,应用提取的PICF 特征进行有效的人脸图像描述. 为确保计算有效性和检索正确率,运用可消除独立特征顺序不确定性的基于PICF 的检索方法,并在具备不同亮度、尺度、姿势和图像描述变化的RL 脸谱数据库中完成了人脸图像检索实. 计算机仿真结果验证了所提出方法的有效. 最佳检索率为100 ％ ,平均查准率达95. 14 ％P千次.
fpica
- 基于fastICA的独立分量分析算法中的核心算法
FASTICA.rar
- 独立分量分析 方法 压缩 与 解压 图像。 MATLAB 实现，有测试平台。,Independent Component Analysis image compression and decompression. MATLAB realization of a test platform.
FastICA_25
- 独立分量分析的算法，用于分离出独立分量，用于图像降维，特征提取-Independent component analysis algorithms, used to separate out the independent component for the image dimensionality reduction, feature extraction
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
icaimageprocessing
- 独立分量分析ICA，用于图像处理，程序不错，可以参考-Independent Component Analysis ICA, for image processing, the procedure well, can refer to
corran
- 基于独立分量分析方法的实际分析应用，在图像处理中的新颖性很有实际价值-One-way repeated measures ANOVA is used to analyze the relationship between the independent variable and dependent variable. It is an extension of the correlated-groups t test, where the main advantage is controllin
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
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
fastICA_imag
- 基于快速独立分量分析盲复原算法的混合图像分离-Independent component analysis based on fast recovery algorithm for blind separation of mixed images
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
Separating-Reflections-from-Image
- 基于快速核独立分量分析的图像反光分离研究 -Fast Kernel independent component analysis based on the image separation of reflection
Independent-component-analysis--
- 基于独立分量分析的图像特征提取及泊松噪声去除，用于初学者，很实用，欢迎下载-Independent component analysis based on image feature extraction and removal of Poisson noise, for beginners, it is useful, please download