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说明：  基于粒子群优化的无线MESH网信道分配算法通用MATLAB函.源码由GreenSim团队原创(PSO-based wireless MESH network channel allocation algorithm for general MATLAB function. GreenSim team from the original source)

A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering, lossy compression of audio (e.g. MP3) and images (e.g. JPEG) (where small high-frequency components can be discarded), to spectral methods for the numerical solution of partial differential equations. The use of cosine rather than sine functions is critical for compression, since it turns out (as described below) that fewer cosine functions are needed to approximate a typical signal, whereas for differential equations the cosines express a particular choice of boundary conditions.

均值漂移算法 MeanShift Matlab 可以运行

Rossler混沌系统Lyapunov指数的Matlab实现代码，Rossler 混沌系统Lyapunov指数的Matlab实现代码。(Rossler chaotic system Lyapunov index of Matlab implementation code,Rossler chaotic system Lyapunov index of Matlab implementation code.)

加你如何快速的熟悉和掌握matlab语言，以及在矩阵运算和数据分析方面的应用(Plus you how to quickly become familiar with and master the matlab language, as well as matrix operations and data analysis applications)

This is a matlab function that help you to compare some personal images and detect the age difference between two subjects

用matlab软件对HSUPAA系统进行仿真，主要是调度算法之类 (Matlab software HSUPAA system simulation, is the class of scheduling algorithms)

基于SVR的非线性系统的辨识和校验，辨识信号为幅值为2的随机信号(Nonlinear systems based on SVR identification and validation, identification signal is a random signal amplitude of 2)

In order to reproduce Figure 3 in the Replica Paper, do the following in order: 1. Run "Linear_test.m" 2. Run "Lasso_Optimal Regularization.m" 3. Run part 0,1 and 2 (not part 3) from "Lasso_test.m" 4. Run "Zero Norm Regularization_Optimal Regularization.m"

MATLAB基本图形图像处理操作，包含图像增强，图像分割，特征提取，图像识别，灰度处理线性算法，文字处理等多个压缩包(MATLAB image processing and basic graphics, including image enhancement, image segmentation, feature extraction, image recognition, linear gray-scale processing algorithms, word processing and other compressed)