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使用MATLAB仿真，模糊自适应PID控制算法具有较好的跟踪性能、抗干扰性、鲁棒性，提高了常规PID算法的适应能力及控制精度(fuzzyPID)

说明：  利用MATLAB实现的自动控制系统分析的界面(Use MATLAB to achieve the automatic control system analysis interface)

ITD计算模态参数，但是还有很多其他方法，这个方法比较原始(ITD)

Stock forecast program source code

CW频率步进信号的时域和频率的包络波形的仿真(CW frequency step signal time domain and frequency envelope waveform simulation)

lte vs wimax the way lte differs from the wimmax

3个传教士和3个野人过河问题matlab求解(Missionaries savage across the river problem solving matlab)

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与VC很不错的。肯定不少人需要吧。(matlab with the VC is very good. Certainly a lot of people need it.)

非常详细的MUSIC谱估计程序，自己写的，毕业设计，保证结果正确且可以运行。有非常详细的注释，每句话都有注解，简明易懂，保证可以看懂并学到知识，并且每一步与MUSIC算法详细的对应和算法解释，不管是学习程序还是学习算法都很有帮助，.m文件中是程序的一部分，全部代码在WORD中，肯定是你见过的最好的代码(MUSIC spectrum estimation very detailed procedures for their own writing, graduation, there are very detailed notes, every word has a comment, simple to understand, to ensure you can read and acquire knowledge, and every step of the MUSIC algorithm and the corresponding detailed and algorithm explanation, whether the learning process or learning algorithms are very helpful)