LDPC.m.TXT

数字图像处理与机器视觉-visual C++与matlab实现,第10章配套源程序(Digital image processing and machine vision of-visual C++ and MATLAB, the 10th chapter matching source)

估计点云的法线，选择点周围的面皮，面片法线相加，求均值(Estimated cloud normals, select points around the dough, adding the patch normal, averaging)

最新的标号学习分布matlab代码，是一种比较新的优化算法(The latest distribution matlab code label study, is a relatively new optimization algorithm)

joint probabilistic data association with matlab

说明：  三相三电平中性点 箝位型( NPC) 逆变器的改进无模型预测电流控制(Improved model free predictive current control of three-phase three-level neutral point clamped (NPC) inverter)

雷达方程的产生程序，如已知发射功率、噪声系数、天线截面积等雷达参数(The radar equation generator, such as known to transmit power, noise figure, antenna cross-sectional area of radar parameters)

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.)

matlab code for image watermarking

包括相邻帧差分结果的高斯性和独立性检验实验结果演示程序。(Including the results of the adjacent frame difference Gaussian and independence demo program test results.)

segment and clustring