MATLAB

这本书是老师推荐给我的，非常好，我用这个学习matlab然后毕设时候很顺利。(This book is the teacher recommended to me, very good learning matlab and then completed the set up very well when I use this.)

it is rar file .it contains source code for matlab.

matlab与组态王的DDE连接，每隔一秒将组态王的数据传给matalb，这样组态王的界面设计就可与matlab连接，实现算法运用。(Matlab and configuration king of DDE connection, will configuration king of data to matalb, such configuration king interface design can connect with matlab, using the algorithm. )

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

这是香农编码的实验，里面是用matlab编写的(This is the Shannon coding experiment, which is written in matlab)

本程序详细区别了matlab中pca、svd、eig三个函数的区别和联系。对于学习pca有极大帮助(This program detailing the differences between the differences and connections in matlab pca, svd, eig three functions. Pca great help for learning)

数字信号处理课设：窗函数法设计一个数字带通FIR滤波器(Based digital signal processing class: window function method to design a digital FIR band-pass filter)

PI控制的仿真模型模型，以及参数设置方面的相关问题。(PI control simulation model models, and parameter settings aspects related issues)

PLS toolbox V.4 manual (under matlab)

说明：  matlab实现一些基础的模式识别工作，如贝叶斯分类，聚类算法，bp神经网络(Matlab implements some basic pattern recognition work, such as Bayesian classification, clustering algorithm, BP neural network)