OMP

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.)

the code for boundary extraction

时间序列数据分析中的梅林变换工具，小波包分析提取振动信号中的特征频率，算法优化非常好，几乎没有循环。( Time series data analysis Mellin transform tool, Wavelet packet analysis to extract vibration signal characteristic frequency, Algorithm optimization is very good, almost no circulation.)

Turbo码仿真程序。有Turbo码的编码，MAP算法，迭代译码，删余和没删余的。(Turbo code simulation program. Turbo codes have coding, MAP algorithm, iterative decoding, censored and no more than delete the remaining.)

Accurate eye center location code

在matlab中运用到的所有命令，可以帮助对其中的一些已有模块的函数进行了解(in using Matlab to all orders can help some of these modules has been carried out to understand the function)

artifical neuro fuzzy logic

music自适应算法估计来波方向matlab 代码实现(music DOA estimation adaptive algorithm matlab code)

共９个程序，通过实验熟悉如何使用MATELAB来编程，该程序可以实现最小拍有纹波、最小拍无纹波、数字PID和大林算法(a total of nine procedures, experimental MATELAB familiar with how to use programming, The procedure can be achieved with minimum ripple film, the smallest ripple-free digital, digital PID algorithm and Dalin)

利用matlab，编写程序，设计了卡尔曼滤波算法，对惯性器件的初始校准进行仿真(Matlab, programming, design of the Kalman filter algorithm, the initial calibration of the inertial sensors simulation)