thermal-2

一维无网格模型,通过这个文件，大家可以学习到无网格法的基本运算方法，是想要学习无网格法的入门之选(it is a file about messless)

粒子群算法的matlab程序在有障碍的路径图中寻寻找最短路径的程序。 (Particle swarm algorithm matlab program in obstacles in the road map to find to find the shortest path to the program.)

用于求解多个相干信号源的波达方向的子空间平滑算法(Subspace smoothing algorithm for solving the direction of arrival of multiple coherent sources )

说明：  利用低通滤波器进行横条纹滤除，效果可以，最好进行一下后期处理，效果会更好。(Use of horizontal stripes of low pass filter filter, the effect can be desirable to look at post-processing, the effect will be better.)

Computational Colour Science Using MATLAB - Stephen Westland & Caterina Ripamonti(Computational Colour Science Using MATLAB- Stephen Westland & Caterina Ripamonti)

DESIGN OF A NEURAL PREDICTIVE CONTROLLER FOR NONHOLONOMIC MOBILE ROBOT BASED ON POSTURE IDENTIFIER

matlab 日内趋势交易代码(TrendIntraDay trade codes of matlab)

本文件包含Metropolis算法对函数进行抽样;显示生成样本的相关图和直方图. 其中文件：metropolis_hastings.m该文件包含4个示例，用于通过Metropolis-Hastings算法对复杂函数进行抽样，显示生成样本的相关图和直方图。metropolis_hastings2.m 包含一个例子，用于通过Metropolis-Hastings算法对双变量高斯PDF进行采样，显示生成样本的相关图和直方图，以及其轮廓和边缘PDF的函数等。(This program develops a very basic example, for the sampling of functions by means of Metropolis algorithm; showing the correlograms and the histogram of the generated samples. metropolis_hastings.m. This file contains four examples, for the sampling of complex functions by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples. In this case the proposals PDF its no longer symmetric. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.It needs the "MH_routine.m" function. metropolis_hastings2.m. This file contains one example, for the sampling of a bivariate Gaussian PDF by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples, and the function with its contours and marginals PDF. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.)

lms自适应波束形成小程序，主要适用于阵列信号处理的学习阶段。(lms beamform)

聚类分析（K-Means)程序实现及展现