搜索资源列表
pca.rar
- 使用PCA进行数据预处理和数据压缩，用C++程序实现，所得主成分保存在文件中,PCA carried out using data pre-processing and data compression, and C++ Program, derived from the principal component in the document preservation
PCA
- 用来进行主成分分析，实现数据压缩功能，也可以做特征提取与分类-Be used for principal component analysis, data compression, you can also do feature extraction and classification
image-compression-with-PCA
- 对400幅灰度图像用分块PCA的方法进行压缩，进行通信时只用传输主元和特征向量。其中，pcaxiefangcha.m用于图像压缩，imresume.m用于图像恢复和部分图像的显示，chaweight.m用于绘制特征值比重-主元个数关系图，crdraw.m用于绘制压缩比-主元个数关系图，psnrdraw.m用于绘制总误差PSNR-主元个数关系图，psnrlocation.m用于绘制单幅图像误差PSNR分布图。-On the 400 block with a gray image compressi
Researchontheshapefeatureextractionandrecognition.
- 主分量分析(PCA ) 是统计学中分析数据的一种有效的方法, 可以将数据从高维数据空间变换到低维特征空间, 因而 可以用于数据的特征提取及压缩等方面。在该文的形状识别系统中, 用PCA 法提取图像的形状特征, 能够较好地满足识别 层的输入要求。在识别层研究了3 种识别方法: 最近邻法则、BP 网络及协同神经网络方法, 均取得了满意的实验效果。-Principal component analysis (PCA) is a statistical analysis of data in a
pca_img_compress.tar
- matlab 用PCA方法对图像进行压缩、还原-PCA method using matlab image compression, restore
facedetection
- PCA、LDA人脸检测，压缩包里实现了PCA、LDA、最小距离分类器，人脸检测！-PCA, LDA face detection, compression bag to achieve the PCA, LDA, minimum distance classifier, face detection!
IMG_PCA
- Matlab 实现 一维 PCA 压缩解压 图像，可以设置 eigen value 数目，观看压缩结果。-Matlab to achieve one-dimensional PCA-extracting compressed images, the number of eigen value can be set to watch the results of compression.
23825772hyperspectral
- 高光谱图像的一系列处理包括了例如融合压缩pca变换等等等等的程序。-Hyperspectral image processing includes a series of transformations such as the integration of compression pca, etc., etc. procedures.
PCA_cov
- 用神经网络中的PCA算法对人脸图像进行压缩及恢复-PCA with a neural network algorithm for image compression on the face and back
pca
- PCA技术的一大好处是对数据进行降维的处理。我们可以对新求出的“主元”向量的重要性进行排序，根据需要取前面最重要的部分，将后面的维数省去，可以达到降维从而简化模型或是对数据进行压缩的效果。同时最大程度的保持了原有数据的信息。-A major advantage of PCA technology is reduce the dimension of the data processing. We can calculate the new " principal component&qu
PCA_neural_networks
- PCA for image compression, Sanger s algorithm implemented with neural networks
dsp_project
- the code conducts the image compression of the gray scale image up to 90 using 4 algos fft wavelet pca and cosine transform-the code conducts the image compression of the gray scale image up to 90 using 4 algos fft wavelet pca and cosine transform
pca-and-wavelet-for-feature
- 结合PCA和Wavelet进行图像压缩和特征提取等方面的研究-fuse wavelet and PCA for image compression,denoise and feature extraction
new-pca
- 这是个改进的PCA主元分析程序 可以实现数据降维和压缩-This is a PCA improved principal component analysis program can reduce the dimensionality of data compression
PCA
- 主成分分析(Principal Component Analysis, 简称PCA)是一种常用的基于变量协方差矩阵对信息进行处理、压缩和抽提的有效方法。 -The principal component analysis (Principal Component Analysis, PCA) is a common covariance matrix of information processing, compression and extraction.
PCA
- ＰＣＡ算法在ｍａｔｌａｂ图像压缩中的应用 ＰＣＡ算法在ｍａｔｌａｂ图像压缩中的应用-PCA algorithm matlab image compression applications PCA algorithm matlab image compression
gpldecha-e-pca-d542a9b
- PCA是一种非线性降维方法特别适合于概率分布，得到了指数族PCA的POMDPs压缩。(Matlab implementation of E-PCA which is a non-linear dimensionality reduction method particularly suited for probability distributions, see the paper Exponential Family PCA for Belief Compression in POMDPs.)
pca using svd
- Principal components analysis is one of a family of techniques for taking high-dimensional data, and using the dependencies between the variables to represent it in a more tractable, lower-dimensional form, without losing too much information. PC
PCA
- MATLAB实现主元分析法，实现数据的压缩，提取主元(MATLAB realize Principal Component Analysis, To achieve data compression, extract the principal component)
ncPCA
- 复数数据处理的非环PCA压缩，结合了PCA和复数数据的环形特性(Non loop PCA compression of complex data processing, combining the ring characteristics of PCA and plural data)