PID_Increase

Digital ImageProcessing Using MATLAB 数字图像处理（MATLAB版） 冈萨雷斯和伍兹所著 这本书的matlab代码编译后的文件 可以在matlab中使用 (Digital ImageProcessing Using MATLAB digital image processing (MATLAB version) written by Gonzales and Woods book compiled matlab code files can be used in matlab)

本书基于MATLAB 5.2版，提供了使用MATLAB的实践性指导。(Book based on MATLAB 5.2 version, provides a practical guide to using MATLAB.)

This is a matlab source code of genetic algorithm for optimizing a features based on KNN classifier... the data is available in matlab environment.This code ready to implement.

说明：  对JAKE信道模型的仿真，该模型常用于OFDM系统中，很有用。(Simulation Of Jakes Model)

This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.

Here, an implementation of Fast Decoupled Load flow is matlab platform is done. This is used for Load flow studies (Electrical).

basic telecommunication, modulation demodulation.

说明：  基于matlab的对风电场风速或风功率进行预测(Prediction of Wind Speed or Wind Power of Wind Farm based on matlab)

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)

说明：  example for linear optimization