人脸检测matlab：椭圆模型和高斯模型

说明：  介绍神经PID控制，包括：基于神经元网络、BP神经网络、RBF神经网络等PID整定的讲解和相关的源代码(err)

face recognition very easily understandable..........u.....

这个项目是关于在 matlab 使用 HMM 语音识别。 我们实施 algorithme 神经网络。

数据模型归一化，模态振动，验证可用，解耦，恢复原信号，基于多相结构的信道化接收机，matlab编写的元胞自动机，汽车课设货车Matlab驱动力图程序。

此代码表示滞环电流控制方法通过，我们提高功率因数和总谐波失真控制 为双向切换

根据小波研究专家编写的“小波处理的小波导引”，当中所涉及到的所有程序都在这里，学习小波和信号处理不得不看的程序(All programs written based on wavelet research experts' guide wavelet wavelet processing " , which involved all here to learn Wavelet and signal processing have to look at the program)

matlab的讲义，一些基础知识，语法知识等等(matlab lectures, some basic knowledge, grammar, etc.)

采用bootstrap方法重抽样，可以将小样本变成大样本，适合乏信息问题(Resampling bootstrap method, small samples can be turned into a large sample suitable for lack of information problem)

该算法建立了格斗空战中本机和目标在进行迎头攻击时的空战三维视图。(The algorithm builds a three-dimensional view of aerial combat air combat aircraft and the target of attacks during head.)

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.)