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蚁群算法（ACO）解决旅行商问题（TSP）的matlab程序。数据取自Oliver30。(Ant colony optimization (ACO) to solve the traveling salesman problem (TSP) in the matlab program. Data from Oliver30.)

宽带时延波束形成例程，滤波求和方式实现宽带波束形成(design 1d filter-and-sum wideband beamformer with optimization )

计算机视觉的经典教材，最权威的著作，此领域必备(a classic book on computer vision, which is very famous and a must in this area)

基于压缩传感的梯度投影重构算法代码，可以仿真实现(Gradient projection reconstruction algorithm code based on compressed sensing, simulation can be achieved )

matlab在科学计算中的应用的相关课件(matlab in scientific computing application courseware)

离散余弦变换，用于matlab环境。使用C语言实现的源代码。(Discrete cosine transform, for the matlab environment. Using the C language source code.)

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MATLAB Euler法求解微分方程组 源程序代码(MATLAB Euler method for solving differential equations of the source code)

分数阶Unscented卡尔曼滤波器研究.pdf分数阶Unscented卡尔曼滤波器研究.pdf(Fractional Unscented Kalman Filter )

在一个移动通信系统中，发射信号是一个未调制的音频x(t)=cos(2πft)，其中f=f0+fi。设标称载波为f0=1GHz，并设fi =512Hz。假定移动用户在一个繁忙的高速公路上距离基站l公里处的地方，从开始从每小时60公里的速度开始，其速度（在0.01秒的时间间隔内测量）以1/2的概率随机的增加或减少1/10公里每小时。试仿真移动用户在这2s的时间间隔内所接收到的信号(及其频谱)。接收信号可以表示为： y(t)=a(t)Cos[2π(fo+f1)(t-△t)] 式中 △(t)=d(t)/c 且 a(t)=k/d2(t) 在上面的表达式中d(t)是在t时刻基站与移动用户的距离，c是光速，△(t)是传播延迟，而a(t)是信号在t时刻的衰减，并假设在这2s内a(t)是一个常数。利用复低通等效模型来进行仿真。(In a mobile communication system, the transmitted signal is an unmodulated audio x (t) = cos (2πft), where f = f0+ fi. Let nominal carrier of f0 = 1GHz, and set fi = 512Hz. Assume that mobile users on a busy motorway station l kilometers place, starting the beginning of 60 kilometers per hour, the speed (measured in 0.01 second interval) to increase the probability of a random 1/2 or reducing 1/10 km/h. Simulation test signal which the mobile subscriber in the 2s time intervals of the received (and its spectrum). The received signal can be expressed as: y (t) = a (t) Cos [2π (fo+ f1) (t- △ t)] Where △ (t) = d (t)/c And a (t) = k/d2 (t) In the above expression, d (t) at time t is a base station and a mobile user s distance, c is the speed of light, △ (t) is the propagation delay, and a (t) is the attenuation of the signal at time t, and assuming that 2s within a (t) is a constant. Using complex low-pass equivalent model for emulation.)