GUI_point_finder2

刘维的《精通Matlab与Cpp混合程序设计》。 本书主要介绍如何运用Matlab与C/C++进行混合程序设计。共分8章，主要包括：Matlab程序设计初步、Matlab编译器、Matlab与C语言的接口、生成可独立运行的Matlab程序、Visual C++调用Matlab程序、Matlab DotNet Builder与Visual C++、Matcom与C/C++以及Visual C++调用Mattab C++数学库。另外，附录中介绍有关动态链接库的基础知识。(By Liu Wei. This book describes how to use Matlab and C/C++ mixed programming. Is divided into eight chapters, including: Matlab programming initially, Matlab compiler, Matlab and C language interface, generates an independent run Matlab programs, Visual C++ calling Matlab program, Matlab DotNet Builder and Visual C++, Matcom and C/C++ and Visual C++ call Mattab C++ math library. In addition, the appendix introducing the basics of the dynamic link library.)

1、不同阶次模拟巴特沃兹滤波器的频率响应 2、根据模拟滤波器指标，设计低通巴特沃兹滤波器 要求通带截止频率 fp = 5kHz, 通带最大衰减 ɑp =2dB， 阻带截止频率 fs= 12kHz, 阻 带最小衰减ɑs =30dB,按照上述指标设计巴特沃兹低通滤波器。 3、给定模拟滤波器，按照不同采样频率设计数字 IIR，观察采样频率对设计结果的影响 已知模拟滤波器传输函数 H(s)为 2 0.5012 ( ) 0.6449 0.7079 H s s s = + + 按照不同采样频率 Fs1=1Hz, Fs2=10Hz 使用脉冲响应不变法将 H(s)转换为 H(z)数字 IIR 滤波器。观察不同采样频率设计得到的数字 IIR 的差异。 4、给定数字 IIR 指标，用脉冲响应不变法设计 IIR。 数字低通滤波器的指标为: 0.2 , 1 , 0.3 , 15 p p s s ω π α ω π α = = = = dB dB ,使用巴特沃 兹滤波器设计数字 IIR。比较采样频率 Fs=1， 2 时设计过程中的模拟滤波器，数字滤波 器的变化。 5、用双线性变换法设计 IIR，并同脉冲响应不变法比较设计的结果。数字滤波器指标要 求如下 0.2 , 1 , 0.3 , 15 p p s s ω π α ω π α = = = = dB dB(1.Grasp the impulse response method and bilinear transformation design IIR filter principle and specific design methods, familiar with double A computer program for designing lowpass, bandpass and highpass IIR digital filters by linear design; 2 . familiar with the design of analog Butterworth filter, master impulse response method and bilinear transformation method to design digital IIR Filter method)

solar cell model that represent a PV module connected to a battery

It demonstrates theoretical and Monte-Carlo outage performance over asymmetric fading channel

Dont Net Siemens Toolbox

用MATLAB仿真闪耀光栅光强的分布，可以通过三维图直观地观测强度变化(Simulation blazed grating light intensity distribution with MATLAB, you can visually observing intensity changes through three-dimensional map)

自己编写的用matlab实现概念格的程序，用来求得所有的概念(I have written the concept lattice using matlab procedures used to obtain all of the concepts)

adaptive filtering with matlab

我自己写的svm的支持向量机，希望对学习模式的有用(I wrote it myself svm support vector machines, and they hope to learn a useful model)

AN INTRODUCTION TO MATRIX MANIPULATION IN MATLAB The power that MATLAB brings to digital image processing is the extensive set of functions that are available in MATLAB for processing multidimensional arrays, of which matrices (two dimensional numerical arrays) have a one to one correspondence with digital images. This tutorial discusses and illustrates a number of ways used to manipulate matrices. Usually, this is the first step in learning how to apply MATLAB tools to image processing applications.