FrecuenciaMuestreo

说明：  计算机图形处理试验程序，实现图形的基本操作--图形复原。采用MATLAB语言编写。适合初学者使用。(Computer graphics test procedures, to achieve the basic operation of graphics- graphics recovery. Using MATLAB language. Suitable for beginners.)

通过matlab 实现通信的模拟调制与解调(analog AM)

MATLAB FACE DETECTION FANTASTIC

读写ply文件的matlab实现。Writes a mesh to a ply file and Reads a ply file (text format). ply files can be in binary format as well(Writes a mesh to a ply file (text format) wich can be read by PlyView from Cyberware and Scanalyze from Stanford University. Both are available for free. Reads a ply file (text format). ply files can be in binary format as well this function can read ply files in txt format only e.g. created by makePly.m.)

说明：  通过定义一个辅助向量，该向量中的元素为每条边端点的节点，生成无标度网络(By defining an auxiliary vector, the vector for each element in the endpoint of the edge node, to generate scale-free network)

HHT工具箱，希尔伯特黄变换用的工具箱和emd程序代码(HHT toolbox, EMD decomposition of essential things, Hilbert-Huang Transform toolbox and program code used emd)

说明：  应用于语音信号和油气管道泄漏信号的去噪处理，有良好的去噪效果(It is applied to the denoising of voice signal and oil and gas pipeline leakage signal, and has good denoising effect)

GNC toolbox mfile from Thor Fosen

利用平均周期图法的进行功率谱估计，得到信号的频谱幅度。(Use the average periodogram method for power spectrum estimation, be the signal amplitude spectrum.)

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)