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High Accuracy Time Delay Measurements

Matlab Speech Samples

元胞自动机,可以根据事先设定的简单规则进行演化得到各种复杂的结果(Cellular Automata,A variety of complex results can be evolved from the simple rules set in advance)

《MATLAB R2008图形与动画编程实例教程》的源代码--第二章(" MATLAB R2008 examples of graphics and animation programming tutorial" source code- Chapter II)

一个对MRI图像进行分割的工具。对于学习研究MRI分割非常有用(MRI images of a partition tool. The study is very useful MRI segmentation)

基于matlab的二维图像的KPCA特征提取(KPCA feature extraction from image by matlab)

modulation of transmitted signal

使用matlab计算金属纳米粒子的光散射系数.(Metal nanoparticles using matlab calculations of light scattering coefficient.)

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.)

说明：  计算拟合优度指标，包括残差平方和SSE、均方根误差RMSE检验、卡方χ2检验、判定系数R2检验(fit goodness test, including residual sum of squares SSE, root mean square error RMSE test, chi square chi square test and decision coefficient R2 test)