PVSfun

说明：  计算颜色关联图，colorCorrelogram for image(colorCorrelogram for image)

ADRC主要资料，包含ADRC核心文章，韩京清教授的“从PID到ADRC”的中文翻译。(ADRC information, including the ADRC-core, Professor Han Jingqing " from PID to ADRC" Chinese translation.)

％直接型到并联型的转换 ％ ％[C,B,A]=dir2par(b,a) ％C为当b的长度大于a时的多项式部分 ％B为包含各bk的K乘2维实系数矩阵 ％A为包含各ak的K乘3维实系数矩阵 ％b为直接型分子多项式系数 ％a为直接型分母多项式系数 ％ ( Directly to the shunt-type conversion [C, B, A] = dir2par (b, a) C for when the b is greater than the length of a polynomial when part of B to include the bk of the K x 2 Victoria real coefficient matrix A contains the ak for the K x 3-dimensional real coefficient matrix b-type elements for direct polynomial coefficients a direct-type denominator polynomial coefficients)

去模糊的几种常见方法的matlab实现！(Several common methods to blur!)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

本程序用于求解层次分析法中的特征值问题。正互反阵最大特征值和特征向量实用算法，本程序为求和法。(This procedure is used to solve the ahp eigenvalue problems. Is reciprocal array maximum eigenvalue and eigenvector practical algorithm, the procedures for the methods of summation by. )

Copyright (C) 2013 Quan Wang <wangq10@rpi.edu>, * Signal Analysis and Machine Perception Laboratory, * Department of Electrical, Computer, and Systems Engineering, * Rensselaer Polytechnic Institute, Troy, NY 12180, USA */ /** * This is the C/MEX code of dynamic time warping of two signals * * compile: *

基于序贯蒙特卡洛采样的粒子滤波程序，主要实现机动目标的跟踪，并给出噪声分析(target Tracking based on SMC PF)

基于MUSIC算法的单频测角，即对来波的DOA到达角进行估计。(MUSIC algorithm based on single-frequency angle measurement, ie to the wave of DOA estimate the angle of arrival.)

除去接受信号中期望信号的mvdr 自适应波束形成算法（自相关矩阵估计）(Remove accepts signals desired signal mvdr adaptive beamforming algorithm (autocorrelation matrix estimation))