Examples-of-annealing-algorithm

友嘉立式中心机(德凸轮机械手换刀)pmc(Feeler Vertical Machining Center pmc)

pu/4 DQPSK matlab modulation code

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.)

读入文本数据，绘制地震波时间域曲线及频谱分析图(Read text data, seismic mapping and spectral analysis of time domain curve diagram)

simple matches features

DOA MUSIC 算法。调试好的，保证能运行。王永良 空间谱估计理论与算法 第110页的仿真程序。(DOA MUSIC algorithm )

关于TSP模拟退火&遗传算法&相应的MATLAB算法程序( tsp Genetic algorithm and simulated annealing and corresponding MATLAB algorithm procedures)

自适应波束的形成仿真，通过matlab实现(Adaptive beam forming simulation)

求序列向量xn的傅里叶变换和离散傅里叶变换并画出它们的幅频特性和相频特性曲线，验证离散傅里叶变换是傅里叶变换的等间隔采样，验证IDFT和DFT的唯一性(Find the Fourier transform of the sequence xn vector and the discrete Fourier transform and draw their amplitude-frequency characteristic and phase-frequency characteristic curve, verify the discrete Fourier transform is the Fourier transform of equally spaced sampling, verification of IDFT and DFT Uniqueness)

DSP course Solution_of_Tut1-_Intro