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一个泊松随机数生成代码，可调节的，但是貌似产生的随机数一直都不变(A Poisson random number generator code, can be adjusted, but the seemingly random numbers have been generated by the same)

matlab入门教程，分简单与详细两个版本。html格式，内有大量源码可直接复制运行。()

对一个调查样本绘制计数的频率分布图.要求输入的样本事先由小到大排好序。(to make a frequency distribution table for a sample)

说明：  建立并绘制任意信号的模糊函数。已在巴克码，线性调频，脉冲信号中测试过。(This program estimates and plots the ambiguity function for any signals. I have tested it for the Barker code, chirp signal, pulse signal. for good results the length of the input vector (Ut)should be more than 7. Example- a rectangular pulse should be described as[1 1 1 1 1 1 1]. Please, give your suggestions. it is made with the help of "xcorr" function (Author: R. Losada) in MATLAB and Ilia Iliev from TU-Sofia )

matlab例程MATLAB 6.x版的内建数据类型（Built-in data type）就有5种以上，此外还有许多其他专门设计的类（Class），如符号类、内联函数类、控制工具包中的线性时不变模型类、神经网络类等。就程序设计而言，MATLAB 6.x版采用了面向对象编程技术。数据和编程的改变使用户能更简捷而自然地解决复杂的计算问题（如符号计算问题、多变量控制系统问题、神经网络问题）。本章内容根据MATLAB6.5编写，但绝大部分内容适用于其他MATLAB6.x版本。(Matlab routines MATLAB 6.x version of the built-in data types (Built-in da ta type) have more than five, in addition to many other specialized design category (Class). If symbol, which together function category, tool kits control the linear time-invariant model type, neural network type. On the design process, using MATLAB 6.x version of the object-oriented programming technology. Programming and data changes so that users can more simple and natural solution to the complex calculation (as symbolic computation, multivariable control systems, neural networks). According to the contents of this chapter MATLAB6.5 preparation, But most of what applies to other MATLAB6.x version.)

marmousi模型，用于地震资料的反演方法，可作为验证反演方法精度的模型(marmousi model for seismic data inversion method can be used as a method to verify the accuracy of the model inversion)

经典huogh变换和改进的hough变换(standard hough trans and the improved hough transform)

这个是集成的小型文档图像透视变形校正的matlab源码(This is a small integrated document image perspective distortion correction matlab source)

This paper studies a cooperative cognitive radio net-work where two primary users (PUs) exchange information with the help of a secondary user (SU) that is equipped with multiple antennas and in return, the SU superimposes its own messages along with the primary transmission. The fundamental problem in the considered network is the design of transmission strategies at the secondary node. It involves three basic elements: first, how to split the power for relaying the primary signals and fo

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