A-convolutional-based-distributed-coded-cooperati

三相异步电机的启动，转子绕组接电阻启动，大家支持(Three-phase induction motor startup, the rotor winding resistance then start)

说明：  MATLAB使用百例，1-32是：图形应用篇；33-66是：界面设计篇；67-84是：图形处理篇； 85-100是：数值分析篇(MATLAB using the 100 cases, 1-32 is: graphics applications, articles 33-66 is: interface design articles 67-84 is: graphics processing articles 85-100 are: Numerical Analysis Section)

802.15.4仿真IEEE802_15_4_Matlab-master

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.)

Yuri Boykov s and Vladimir Kolmogorov s work on graph cuts and MRF optimization has been extensively cited in the academia, and their maximum flow implementation is widely used in computer vision and image processing research.

利用MATLAB中的小波信号对语音信号的基音提取(The use of MATLAB Wavelet signal for pitch extraction of speech signals)

matlab 设计fir、iir滤波器 (matlab fir)

This is an example for understanding

自适应混沌粒子群算法的matlab程序，有测试函数(Adaptive chaotic particle swarm algorithm matlab procedures, test function)

完成阵列信号处理中MUSIC算法的仿真，并且可以通过改变参数来进行性能验证(Complete array signal processing simulation MUSIC algorithm, and can change the parameters for performance verification)