搜索资源列表
pca
- 主要的源代码成分分析，您可以加载数据，然后可以直接使用无需修改-Principal component analysis of the source code, you can load data, and then can be used directly without modification
steepestdescent
- Steepest descent have been applied to a biomedical application data and the component responsible for key operation is obtained
jcwtlib-0.01.tar
- 独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独
EEMD
- hilbert-huang 变换中EMD(经验模态分解)方法对非线性信号的分析，固定模态分量及瞬时频率计算-hilbert-huang transform EMD (Empirical Mode Decomposition) method of nonlinear signal analysis, the fixed component and the instantaneous modal frequency counter Operator
color-snake
- 利用彩色蛇模型对彩色图像进行处理，即不将彩色图像分为Ｒ，Ｇ，Ｂ三个分量，而是将彩色图像视为单一簇的处理，反而会得到更好的边缘清晰度-The use of color snake model for color image processing, that is, not the color image into R, G, B three-component, but rather as a single cluster of color image processing, it will ge
fp
- 基于ICA的独立分量分析，目标函数是负熵，快速不动点算法-ICA-based independent component analysis, the objective function is negative entropy, fast fixed-point algorithm
ML
- 基于最大似然估计的独立分量分析算法，包括随机梯度算法，相对梯度算法，快速不动点算法3个程序-Based on maximum likelihood estimation of independent component analysis algorithms, including stochastic gradient algorithm, the relative gradient algorithm, fast fixed-point algorithm for three programs
MPCALDA
- 编程是由pca和lda结合的脸部特征提取，用于三维图像。-multilinear principal component analysis combined with Linear discriminant analysis 3D face feature extraction.
IMAGE-FUSION-resolutionmerge
- Monochromatic (gray scale) low resolution image is converged to colored image by false color mapping to "hot" color scheme. This RGB image is then converted to Hue, Saturation and Value (HSV) image. Value component is replaced by higher resolution im
aliasing_for_time_domain_signal.m
- This package contains scr ipt to calculate aliasing for given time domain signal. scr ipt to plot in time domain the function: x(t)=A0cos(2pif0t)+A1cos(2pif1t) where fs1=300 Hz and fs2=150 Hz (sampling rate) A0 and A1 are amplitude s signal (a
face
- 人脸识别matlab源代码，应用主分量分析（PCA）实现了人脸识别。-Face recognition matlab source code, application of principal component analysis (PCA) to achieve a face recognition.
infomax
- compute the Independent component analysis (ICA) with the algorithm of infomax
ricegen
- generates a fading signal where a direct (LOS) component is present Rician channel
ASM_version1b
- ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 -Descr iption This is an example of the basic Active Shape Model (ASM) as introduced by Coot
testtext
- 测试文本，选用著名的gettysburg这篇英文文本做为测试文本-Second, it fuses the features of the first singular value component and the second one, and then gets the complex feature vectors which reflect not only the statistic frequency but also the sequential structure of let
shujuguiyihua1
- 数据提取和数据归一化 数据插值 imf分量绘图 imf分量能量-Data extraction and data normalization data interpolation imf component drawings imf component of energy
HS
- 视频桢光流场计算,可以用拉丝构件视频纹理,保证别人没有上传过-Video frame optical flow field calculation, you can use drawing component video textures to ensure that no one else uploaded
ImageHalftoning
- myhalftone函数可以实现图像半色调功能-The function myhalftone takes the Y component and generate a “continuous‐ one gray‐scale” binary image by selecting a good halftoning method and appropriate parameters.
ImprovedPCAFaceRecognitionAlgorithm
- 摘要：主成分分析（PCA）的人脸识别算法，以减少的特征向量是涉及到对抽象的特点，改进了主成分分析（一）iUumination算法的变化影响酶原sed.The方法是基于上减低与正常化其相应的标准差的特征向量元素相关联的大特征值的特征向量的影响力的想法。耶鲁大学和耶鲁大学面临的数据库面对数据库B是用来验证-Abstract：In principal component analysis(PCA)algorithms for face recognition，to reduce the influen
SVMnonlinforASI
- SVM PCA (Principal Component Analysis) algorithm has been widely used in engineering and science research, This report mainly from the PCA and the basic structure of the basic tenets of its research, Conventional PCA algorithm used mainly linear algo