matlabusefulexamples2

利用Matlab编程进行马尔可夫预测计算,非常方便的，只需要进行相应的矩阵乘法(Markov prediction using Matlab programming to calculate, very convenient, just make the appropriate matrix multiplication)

发送一个开放声音控制（OSC）的信息通过UDP连接 oscsend（美，路径） oscsend（美，路径，类型，arg1的，arg2的,...) oscsedn（美，路径，类型，[参数]） ü= UDP的对象与打开的连接。 路径=路径字符串 =同类型的参数类型的字符串， 支持： 我=整数 f=浮动 商S =串 每组空（忽略相应的参数） 余=脉冲（忽略相应的参数） T=真（忽略相应的参数） F=假（忽略相应的参数） 乙=布尔（不是官方：将参数为T/在F型） 不支持： b=一滴 参数=参数所指定的类型。 示例 ü=的UDP（ 127.0.0.1 ，7488） 的FOPEN（美） oscsend（ü， /测试 ， ifsINBTF ，1，3.14， 您好 ,[],[],虚假,[],[]) fclose（美） 如需关于振荡信息http://opensoundcontrol.org/。(Sends a Open Sound Control (OSC) message through a UDP connection oscsend(u,path) oscsend(u,path,types,arg1,arg2,...) oscsedn(u,path,types,[args]) u = UDP object with open connection. path = path-string types = string with types of arguments, supported: i = integer f = float s = string N = Null (ignores corresponding argument) I = Impulse (ignores corresponding argument) T = True (ignores corresponding argument) F = False (ignores corresponding argument) B = boolean (not official: converts argument to T/F in the type) not supported: b = blob args = arguments as specified by types. EXAMPLE u = udp( 127.0.0.1 ,7488) fopen(u) oscsend(u, /test , ifsINBTF , 1, 3.14, hello ,[],[],false,[],[]) fclose(u) See http://opensoundcontrol.org/ for more information about OSC.)

傻瓜型matlab教程，手把手教你使用matlab。 (Fool matlab tutorial taught you how to use matlab.)

利用MATLAB实现二维图像傅立叶变换算法(Realize two-dimensional image using MATLAB Fourier transform algorithm)

this is the part 5 of lte

An effective implicit time integration scheme was proposed for the fi nite element solution of nonlinear problems in structural dynamics. Various important attributes were demonstrated. In particular, it was shown that the scheme remains stable, without the use of adjustable parameters, when the commonly used trapezoidal rule results in unstable solutions. In this paper we focus on additional important attributes of the scheme, and specifi cally on showing that the procedure can also be effective in linear analyses. We give, in comparison to other methods, the spectral radius, period elongation, and amplitude decay of the scheme and study the solution of a simple ‘model problem’ with a very fl exible and stiff response.

This program requires the MATLAB program in order to work, it is written for the SC140 digital signal processor.

Face Detection System Face Detection using gabor feature extraction and neural networks (Face Detection System Face Detection using gabor feature extraction and neural networks)

说明：  人脸识别，用于人脸图片的检测领域，对于初学则有一定意义，作者来自麦吉尔大学(Face Recognition for Human Face Detection picture field, the beginner will have a certain sense, the writer from McGill University)

白噪声及有色噪声序列、M序列的产生程序，噪信比计算程序(White noise and colored noise sequence, M sequence generation procedure, noise to noise ratio calculation program)