Final-Coding

各类聚类算法程序包，包含各种经典的聚类算法，例如：k-mean聚类等(Various types of clustering algorithm package, contains a variety of classic clustering algorithms, such as: k-mean clustering, etc.)

LPC lab for student purdue

msk的调制解调MATLAB源代码，很不错，值得看看(msk modulation and demodulation MATLAB source code, very good, worth a look)

产生一个随机信号和两个不同频率但频率间隔很小的正弦信号，要求对两信号之和进行如下分析： （1） 求该随机信号的自相关性系数、自相关函数，画出对应的图形； （2） 利用不同的参数建模方法求出两个随机信号的功率谱； （3） 利用极大似然估计、递推最小二乘法等常用的参数估计方法估计所建模型，包括AR模型、MA模型和ARMA模型的的参数，阶次自定；并与Matlab工具箱里的一些建模函数的运算结果进行比较； （4） 利用陷波滤波和MUSIC滤波方法对该信号的频谱进行估计； （5） 利用Wiener滤波、LMS滤波对该含噪声的正弦信号进行去噪声处理； （6） 假设该信号是一个飞行器的某个方向的线位移信号，可否利用Kalman滤波对该信号进行滤波？ （7） 利用高阶谱理论对该信号进行谱估计和相应的AR模型、MA模型和ARMA模型估计； （8） 利用小波变换（变换函数可以直接用Matlab里的函数）对该信号进行去噪声处理，并和前面的去噪声方法进行比较。 (Produce a random signal and two different frequency but frequency interval small sine signals, required to make the following analysis of two signals: (1) for the random signal from the correlation coefficients, the autocorrelation function and draw the corresponding graphics (2) make use of different parameters modeling method for out two random signal power spectrum (3) using maximum likelihood estimation, recursive least square method and common parameters estimation method estimates that the model, including AR model, MA model and the parameters of the ARMA model we, order time decided oneself With Matlab toolbox and some of the modeling function is used compared the (4) use trapped wave filter and MUSIC of the signal filter method of spectrum to estimate (5) use Wiener filtering, LMS filtering on the sinusoidal signal with noise to noise treatment (6) assumes the signal is a vehicle of a certain direction of displacement signal line, can you use Kalman filtering on the)

可以用matlab来验证经典的zipf分布定律。(Can be used to verify the classic zipf matlab distribution law.)

This is the KMeans code of IR Image segementation

胡广书版数字信号处理matlab代码，维纳滤波器等学习源码(digital signal processing matlab code, Wiener filter and other learning source)

基于saleh模型的记忆放大器仿真程序，用做预失真均衡项目可以用的前置记忆功率放大器的非线性失真模型。(simulation for memory prodistorition )

4万亿投资的数模论文与实现的源代码，自己在学习数模课程的作业(4 trillion investment in digital to analog Papers and the source code, in the course of the digital-analog operations)

此算法的优化效率和鲁棒形都非常好，稍加修改可用于机器人(the optimization algorithm efficiency and robustness are very good shape, a little change can be used for robot)