WFSsaas

说明：  harris 角点检测 MATLAB 代码(Harris corner detection MATLAB code)

mathlab的三个分别灰色绝对关联度，相对关联度，归一关联度的代码，是三份M文件(mathlab absolute correlation of the three were gray, relative correlation, normalized correlation of the code, the file is three M)

用Bessel方程展开计算有限电流源向外辐射的电场和磁场，输出较全的电磁学参数。(Computation of Bessel equation with limited current source radiating electric and magnetic fields, output over the entire electromagnetic parameters.)

用概率算法计算pi的值，linnux环境下使用gcc编译后运行(With the probability of the value of pi algorithm, linnux environment using the gcc compiler to run after)

扩展卡尔曼与质点滤波在纯方位跟踪应用,扩展卡尔曼与质点滤波在纯方位跟踪应用(Bearing only tracking)

中文名称：主成分分析 英文名称：principal component analysis 定义：一种统计方法，它对多变量表示数据点集合寻找尽可能少的正交矢量表征数据信息特征。 (Chinese name: Principal component analysis of the English name: principal component analysis defined: a statistical approach, where the variable represents the collection of data points to find the lowest possible number of orthogonal vector characterization data characteristics.)

function [ H ,S ] = HS( f ) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1=diff(f,x1) f2=diff(f,x2) S= [f1 f2] H = [diff(f1,x1) diff(f1,x2) diff(f2,x1) diff(f2,x2)] end s0=subs(S,findsym(S),[0 0])(function [H, S] = HS (f) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1 = diff (f, x1) f2 = diff (f, x2) S = [f1 f2] H = [diff (f1, x1) diff (f1, x2) diff (f2, x1) diff (f2, x2)] end s0 = subs (S, findsym (S), [0 0 ]))

包含特征值与特征向量的提取、训练样本以及最后的识别，信号维数的估计，小波包分析提取振动信号中的特征频率。( Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Signal dimension estimates, Wavelet packet analysis to extract vibration signal characteristic frequency.)

QR分解SMI算法的目的正是要避免直接来解线性方程，而是将自相关矩阵分解，并利用Givens旋转实现数据矩阵的QR分解，最终将权矢量的求解问题转化为三角线性方程组的求解问题。(QR decomposition SMI algorithm, whose objective it is to avoid directly to solution of linear equations, but will auto-correlation matrix decomposition, and the use of Givens rotation implementation of the QR decomposition of data matrix, the weight vector will eventually solve the problem into a triangular system of linear equations solving the problem.)

小波理论算法，小波十讲，中+英文版，详细介绍了小波理论的起源、具体原理、算法、实现及应用等。是学习小波理论难得的珍贵资料。(Wavelet theory of algorithms, Ten Lectures on Wavelets, in+ English, detailing the origin of wavelet theory, the specific principles, algorithms, implementation and applications. Wavelet theory is a valuable learning valuable information.)