Chineseflag

WIM2-ITU的Matlab 文档，很有借鉴性(WIM2-ITU Matlab documentation)

移动通信系统中，卷积码的matlab仿真程序(Convolutional code matlab simulation program)

用来做灰色预测的源代码，适用于小样本的预测，精度较高(Used for gray prediction of source code, applies to small sample forecast accuracy)

基于矩量法的二维金属体散射（内含matlab程序）(2-D metal scattering based on MOM(including matlab code))

matlab code for mulchannel audio processing.

汉诺塔的实现程序，包括简单的实现代码，和动画演示代码(Hanoi' s implementation procedures, including simple implementation code, and animation demo code)

说明：  Matlab toolbox for parsing optimal control problems into nonlinear programming problem. Please read the documentation under subdirectory manual. There are a few examples that should help you get started.

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)

用MATLAB实现的基4FFT算法的程序，输入一个长度为16的序列，得到DFT的频谱(Implemented with the MATLAB-based algorithm 4FFT program, enter a sequence of length 16 obtained DFT spectrum)

编写K-均值聚类算法程序，对下图所示数据进行聚类分析(选k=2)(prepare K-means clustering algorithm, the data shown in the chart below cluster analysis (EAC k = 2))