eplo2

仿真了用于MIMO雷达的OFDM Chirp波形的自相关函数和互相关函数，便于进一步优化OFDM Chirp波形，使互相关和自相关性能接近正交波形的性能，从而提高雷达目标检测性能。因为匹配滤波相当于一个互相关器。附有所仿真波形的参考文献，波形设计见本人之前上传的文件(this matlab program simulate the correlation function of ofdm chirp waveform,so that reader can optimizing design new ofdm chirp waveform.from the simulation results we see that the correlation performance are not well enough,so we have to optimize the ofdm chirp.there is reference of my simulation.)

灰色预测的程序，灰色预测是对不确定系统数据的预测(Gray prediction procedure, gray prediction is for uncertain system data)

灰色PID控制，灰色PID位置跟踪的matlab源码(PID control of gray, gray PID location tracking matlab source code)

matlab编程Newmark-β单自由度体系动力响应(Matlab programming Newmark- beta single degree of freedom system dynamic response)

我本科毕业设计时研究用的遗传算法解决TSP问题，matlab版本的(I graduated with the design of genetic algorithm to solve TSP problem, matlab version)

BP算法.............................................

Statistical Analysis Practice Problems

Code MATLAB in S. Theodoridis, A. Pikrakis, K. Koutroumbas, D. Cavouras - Introduction to Pattern Recognition: A MATLAB Approach

这是一个耗时巨长的程序，很费脑筋，所以大家一定要珍惜，希望对大多数人有所帮助，如有问题，可以联系我591805444（QQ）(This is a time-consuming giant long procedures, is very annoying task, so we must cherish, hope to most people help, if there is a problem, can contact my 591805444 (QQ))

2. 设 是窄带信号，定义 是在 区间上均匀分布的随机相位。 是寬带信号，它是一个零均值、方差为1的白噪音信号e(n)激励一个线性滤波器而产生，其差分方程为 。 1） 计算 和 各自的自相关函数，并画出其函数图形。根据此选择合适的延时，以实现谱线增强。 2） 产生一个 序列。选择合适的 值。让 通过谱线增强器。画出输出信号 和误差信号e(n)的波形，并分别与 和 比较。 (Computer Experiments: 1. Consider an AR process x(n) defined by the difference equation where v(n) is an additive white noise of zero mean and variance .The AR parameters and are both real valued: a) Calculate the noise variance such that the AR process x(n) has unit variance .Hence , generate different realization of the process x (n). b) Given the input x (n), an LMS filter of length M = 2 is used to estimate the unknown AR parameters and . The step size is assigned the value 0.05. Compute and plot the ensemble average curve of and by averaging the value of parameters and over an ensemble of 100 different realization of the filter. Calculate the time constant according to the experiment results and compare with the corresponded theoretical value. c) For one realization of the LMS filter, compute the prediction error And the two tap-weight errors and Using power spectral plots of , show that)