Matlab100programmings

各种灰色T型关联度代码，修正的T型关联度，改进的T型关联度,邓氏关联度，绝对关联度，相对关联度等。非常方便！(Various gray T-correlation code, modified T-correlation, improved T-correlation, Tangs correlation, absolute degree, associate degree relative. Very convenient!)

简单的bp神经网络，是一个语音信号的简单建模和处理，结构深度是3层(simple MATLAB code example for BP network)

this program helps you to analyse pattern recognition classifiers using imported data

On the implementation and usage of SDPT3 – a Matlab software package for semidefinite-quadratic-linear programming, version 4.0

生成Intel Hex file的MATLAB源程序(MATLAB source generates Intel Hex file)

针对非线性传递函数一种滤波和估计的新方法 (A New Method for the Nonlinear Transformation of Means and Covariances in Filters and Estimators )

说明：  这是一个利用GM(1,1)进行预测的matlab程序，是我在数模竞赛的时候写的，希望有用(This is a use of GM (1,1) to predict the matlab procedure is that I die in a few competitions when written in the hope that useful)

，用MATLAB实现快跳频通信系统的仿真。主要应用了SIMULINK和COMMUNICATION BLOCKETS两个模块。整个设计包括了信源产生部分、发送部分、跳频调制部分、信道部分、接收部分和结果分析部分共六个模块，核心技术是伪随机序列的产生和频率合成器的设计，而关键技术是收发两端的伪随机码元的同步。伪随机码的产生用S－函数编程来开发自己的SIMULINK模块。同步的实现是收发两端采用相同的扩频脉冲触发。而且在设计中每个模块都采用了模块封装技术，从而简化了框图结构(Using MATLAB to achieve fast frequency-hopping communication system simulation. The main use of SIMULINK and COMMUNICATION BLOCKETS two modules. The whole design, including part of the generated source, sending part of some frequency-hopping modulation, channel of the receiving part and the results of analysis of part of a total of six modules, the core technology is the emergence of pseudo-random sequence and frequency synthesizer design, and the key technology is the transceivers at both ends of the pseudo-random synchronization symbol. Pseudo-random code generated by S-function programming to develop their own modules SIMULINK. Synchronization is used to send and receive ends of the same spread-spectrum pulse trigger. But also in the design of each module using the module packaging technology, which simplifies the structure of the diagram)

比较全面的介绍了三角形平面单元的计算，包括matlab源程序和PDF说明(Triangular Plate Displacement Elements)

using DWT and neural net