pv_modelling

说明：  非常简练的小波网络演示文件，对理解和编写小波网络很有帮助(A source code of demo file for wavelet neural network )

用matlab对两组数据进行了曲线拟合,得出了拟合曲线和公式(failed to translate AA AAA AA)

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图像处理函数大全 同时也可以用来学习(matlab image processing function can also be used to study Daquan)

QAM的matlab编码，可以看QAM的一定信噪比下，信号的误码率情况(The encode of QAM use MATLAB)

说明：  三体问题粒子轨迹图。设正电荷在（-1，0）（1，0）处，电子初始位置根据设定。(three body problem. Positive particle is placed on （-1，0）（1，0）. This program will give the trace of the electron under selected initial position.)

Test Target Class Source Code for Andriod.

基于主元分析的多元线性回归程序,输出回归系数，主元贡献率和拟合误差(multiple linear regression using pca)

EMD 分解的MATLAB程序 是对时间信号分解的一种办法(EMD decomposition of time MATLAB program is a way of signal decomposition)

自适应粒子群算法的应用程序，用matlab编写，适合初学者使用(adaptive PSO algorithm)