DWT

关于衰落信道用matlab编写的仿真程序(on fading channel using Matlab simulation program prepared by the)

维纳滤波仿真 ，经滤波后的各个模型 ARRA MA等模型(Wiener filter simulation, all through the filter model ARRA MA other model)

说明：  《精通MATLAB7.0混合编程》系统地介绍MATLAB 7.0的混合编程方法和技巧。全书共分为13章。第1章和第2章介绍MATLAB的基础知识，第3章简要介绍MATLAB混合编程，第4章至第9章分别介绍几种典型的混合编程方法，包括C-MEX、MATLAB引擎、MAT数据文件共享、Mideva、Matrix和Add-in。第10章、第11章介绍MATLAB与Delphi和Excel的混合编程。第12章介绍MATLAB COM Builder，第13章以图像处理为例介绍了一个综合应用实例。 本书按混合编程的具体方法进行逻辑编排，自始至终用实例描述，每章着重阐述各种混合编程方法的实质和要点，同时穿插了作者多年使用MATLAB的经验和体会。本书既适合初学者自学，也适用于高级MATLAB用户，可作为高等数学、计算机、电子工程、数值分析、信息工程等课程的教学参考书，也可供上述领域的科研工作者参考。 这里是本书所有源码压缩包，内容详尽、实例丰富，包含MATLAB实例的源文件、函数/命令和注解以及程序实例。 ("proficient MATLAB7 mixed programming" system introduced in MATLAB 7.0 Mixed Programming methods and techniques. The book is divided into 13 chapters. Chapter 1 and Chapter 2 on the basis of knowledge MATLAB, Chapter 3 briefed Matlab. Chapter 4-Chapter 9, respectively introduced several typical mixed programming, including C-MEX, MATLAB engine, MAT data file sharing, Mideva, Matrix and the Add-in. Chapter 10, Chapter 11 and Delphi on MATLAB and Excel hybrid programming. Chapter 12 on MATLAB COM Builder, chapter 13 for image processing as an example of a composite application. The book by the mixed programming methods for the specific logic layout description throughout example, Each chapter focuses on a combination of programming and real elements, while full of the author's )

本函数计算一个大区域上的信号干扰分布情况。(This function calculates a large area on the distribution of signal interference.)

米字形CFAR，可以处理一些特殊的目标回波，提高检测率，降低虚警(M-shaped CFAR, can handle some special target echo enhance the detection rate and lower false alarm)

radar equation of cw-radar

用matlab编写的谱方法基本程序,相信对大家有用。(Some basic matlab programs on spetral methods)

巴特沃斯滤波器，主要实现的是低通信号，此功能模块的低通曲线很符合理想的幅频特性。(Butterworth filter, the main achievement is low traffic numbers, the low-pass curve is consistent with this function module ideal frequency characteristics.)

经典著作 pattern classification的配套matlab版解题指导(Computer_manual_to_accompany_Pattern_Classification)

这是一个实值的Noiselet变换，压缩感知的图像应用中的的Noiselet观测矩阵 (1) This implementation uses exactly m*log2(m) additions/subtractions. 2) This is a real-valued variation of "dragon" noiselets. 3) This is symmetric and orthogonal. To invert, apply again and divide by m.)