wrb1

该程序可对变压器做仿真,模拟变压器放电传播特性,并加以定位用(The procedure can be done on the transformer simulation, simulation transformer discharge propagation characteristics, and positioning with)

Vc+_+调用matlab的一个实例，包括matlab源文件，VC源文件，以及word和pdf文件说明(Vc+_+ call matlab one instance, including the matlab source file, VC source files, as well as word and pdf file description)

1996年全国数学建模竞赛A题扑鱼策略的程序(Policy procedures the fish flapping)

介绍了几个基于EKF扩展卡尔曼滤波的例子，可以帮助更好的理解扩展卡尔曼滤波(Introduced a few based on extended Kalman filter EKF example, can help a better understanding of extended Kalman filter)

半带滤波器的设计。半带滤波器在设计准确重建性能的滤波器组方面有重要作用。(half-band filter design. Half-band filters in the design performance of accurate reconstruction filters play an important role.)

This lab exercise will introduce you to the AccelWare IP generators. AccelWare is a library of over fifty IP generators, available in the form of three toolkits that produce synthesizable MATLAB for common MATLAB built in and toolbox functions. Each generator offers macro and micro-architecture selections that allow full customization of the generated model to the target application requirements.(This lab exercise will introduce you to the AccelWare IP generators. AccelWare is a librar y of over fifty IP generators, available in the form of three toolkits that pro duce synthesizable MATLAB for common MATLAB negation ilt in and toolbox functions. Each generator of fers macro and micro-architecture selections that allow full customization of the generated model to the target application requirements.)

This document is aimed at MATLAB® beginners who already know the syntax but feel are not yet quite experienced with it. Its goal is to give a number of hints which enable the reader to write quality MATLAB® programs and to avoid commonly made mistakes.

用MATLAB实现将灰度图转换为彩色图（伪彩色）(Gray into color image by the use of MATLABP（seudo-color）)

using L in profile storage. We may solve Ly  b accessing L by row and either LTx  y accesing LT by column or equivalently xTL  yT accessing L by row

Using the PSO the LSSVM the parameter, the optimal parameters, more accurate classification.