Scurve

this program tries to find optimum point

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.)

D2D单小区下的功率控制，生成小区，撒点蜂窝用户和D2D用户，信道生成(Power single-cell under control D2D)

Matlab source code for EESAA research paper.

说明：  用割线法求函数极值，能求出初始点附近极值点，包括极大值和极小值(Secant extremal function, can be obtained in the vicinity of the initial point of extreme points, including the maximum and minimum values)

Matlab+C OpenTLD运动目标检测跟踪源代码(Matlab+C OpenTLD Moving Target Detection source code)

一个matlab编的图像检索代码,贡献给大家(cbir bnvbmnb,m)

最小费用最大流算法通用Matlab函数，最短路算法的Ford和Fulkerson法迭加算(Common minimum cost maximum flow algorithm Matlab function, the shortest path algorithm of Ford and Fulkerson method of superposition operator)

Full wave rectifier simulation using matlab

Program will detect colour ball in a video by calculating colour values