搜索资源列表
EEOF
- EEOF,是扩展EOF分析,扩展后的主分量分析有一定的应用,也是十分有用的程序!-EEOF, is to extend the EOF analysis, the extension of principal component analysis of certain applications, is also very useful program!
PCA
- 主分量分析的MATLAB程序,对于初学者比较有用,可以好好看一下-MATLAB program, the principal component analysis is useful for beginners, you can take a look at
Heart-murmur-extraction
- 采用奇异谱主分量分析方法从病理心音信号中提取杂音成对四种常见的病理心音信号进行奇异谱分析,得到各主分量和经验正交函数,选择合适阶次重构正常心音成分和杂音成分。分。-The principal component analysis singular spectrum extracted from the pathological heart sound signals murmur pairs four common pathologic
Wang_PCA
- 、去均值 2、计算协方差矩阵及其特征值和特征向量 3、计算协方差矩阵的特征值大于阈值的个数 4、降序排列特征值 5、去掉较小的特征值 6、去掉较大的特征值(一般没有这一步) 7、合并选择的特征值 8、选择相应的特征值和特征向量 9、计算白化矩阵 10、提取主分量 -To mean the number of calculated co-covariance matrix and its eigenvalues
pcaaKPCA
- 主分量分析 和 核主分量分析的 原理简介,主分量分析(PCA)用于对信号进行特征提取和降维-Introduction of the principle of the principal component analysis and kernel principal component analysis, principal component analysis (PCA) for feature extraction and dimen
PCA_ONE
- PCA程序,用于信号的主分量分析,用过几次,感觉不错-PCA program, the main component for signal analysis, used a few times, I feel good
PCA
- 实用的主分量分析程序。程序中mixedsig为 n*T 阶混合数据矩阵,n为信号个数,T为采样点数, y为 m*T 阶主分量矩阵。-The practical primary component analysis program. Program mixedsig n* T Order Mixed data matrix, n is the number of signals, T is the sampling points, y i
87201146CoolImage
- 对图像进行了处理,把图像分块,然后进行主分量融合,从而是图像只显示每一分块的主颜色-The image processing, the image sub-block, and then the main component fusion, which is the image display only the primary colors of each sub-block
pca_BSS
- matlab 盲源分离 主分量分析-blind source separation PCA
Apso-bp-Rainfall
- 降水短期气候预测是一个非常复杂、重要的研究课题。为了提高其预测能力,拟采用1959—2011 年逐月74 项大气环流特征量序列、月平均500 hPa 高度场和月平均海温场,选取预测因子;用主分量分析方法提取样本数据中主要信息为综合因子。用粒子群优化人工神经网络方法,建立宣城市夏季降水短期气候预测模型。对2007—2011 年宣城市夏季降水预报检验结果表明,粒子群优化人工神经网络收敛速度快,迭代次数少;试报平均绝对误差是66.5 mm,绝
Gait_recogniton_PCA
- 基于主分量分析的步态识别系统,识别率高达94.44 -Gait recognition based on principal component analysis research
pattern1_a
- . PCA人脸识别 A.闭集测试。用每个人的前5张图像作为训练,剩下的5张图像作为测试。也就是说总共有200张训练图像和200张测试图像。采用最近邻分类,分析选取不同的主分量个数K,对识别率的影响 -. PCA Face Recognition A. Closed set tests. With each of the first five images for training, the remaining 5 images
sub_AIC
- matlab程序,用pca分解重构对原始信号进行噪声抑制,利用bic准则进行主分量阶数选择-matlab program, using pca decomposition and reconstruction of the original signal noise suppression, the use of principal component bic guidelines Order Selection
PCA
- 使用Matlab实现的关于主分量分析PCA的方法的案例,可先实现仿真-Matlab achieved using principal component analysis PCA on the case method, the simulation can be achieved
PC
- 特征空间自适应波束形成器,主分量方法波束形成器-eigen space responsive beamformer, Principal Component beamformer
gl
- 特征分析方法中概率矩阵主分量法中主要部分,求原始矩阵的概率矩阵-Analysis methods probability matrix main part of the principal component method, find the probability matrix of the original matrix
pcannc
- 主分量分析对SAR图像目标进行特征提取,用最近临方法进行分类-Principal component analysis(PCA) of SAR image target feature extraction, classification using nearest-neighbor method
111
- 实现对实测振动信号的主分量分析 输入数据为N*T,N为传感器个数-Achieve the main component of the measured vibration signal analysis of input data for the N* T, N is the number of sensors
KLTrancom
- 通过KL主分量变换算法,进行遥感影像6波段主分量分析。-By KL principal component transform algorithm for remote sensing image 6 band principal component analysis.
face_recognition
- 基于opencv的人脸识别代码,采用主分量分析的方法-Face recognition based on opencv code, using the method of principal component analysis