orbits

说明：  Matlab教程，可以借助其学习和使用Matlab，使用软件过程中还可以查阅。(Matlab tutorials can make use of their learning and the use of Matlab, using the software process can access.)

说明：  k近邻 (k nearest neighbor)

一篇比较实用的天线的设计文章，相信比较有用(a more practical antenna design articles, believed to be more useful)

music高阶谱分析算法，采用加权网络中节点强度和权重都是幂率分布的模型，gmcalab 快速广义的形态分量分析，自己编的5种调制信号，表示出两帧图像间各个像素点的相对情况，有详细的注释，有小波分析的盲信号处理，车牌识别定位程序的部分功能。( music higher order spectral analysis algorithm, Using weighted model nodes in the network strength and weight are power law distribution, gmcalab fast generalized form component analysis, Own five modulation signal, Between two images showing the relative circumstances of each pixel, There are detailed notes, There Wavelet Analysis Blind Signal Processing, Part of the license plate recognition locator feature.)

可以对周期信号进行傅里叶单边谱分析和双边普分析，提取谐波分量(Fourier spectral analy sis can be unilateral and bilateral analysis)

it is dataset for matlab vowel

根据PSO算法原理，在MATLAB中编程实现基于PSO算法的函数极值寻优算法，程序前面给出了PSO算法参数设置，种群初始化，寻找初始极值，迭代寻优，最后通过算法反复迭代300次，画出每代最优个体适应度值变化曲线，最后通过对比发现说明PSO算法具有较强的函数极值寻有能力，谢谢，希望对大家有帮助。 (According to the principle of PSO algorithm in MATLAB programming function PSO algorithm based on extreme value optimization algorithm, the preceding program gives the PSO algorithm parameter settings, population initialization, looking for initial extreme value, iterative optimization, and finally through the iterative algorithm 300 times draw the best individual fitness value of each generation curve, and finally by comparing the findings indicate that PSO algorithm has strong function extreme ability to find, thank you, we want to help.)

说明：  由于matlab代码中若有很多循环结构，执行效率就会降低。本文献教你怎么写出高质量的matlab代码(Because if many matlab code cycle structure, the implementation of the efficiency is reduced. The literature teach you how to write high-quality matlab code)

说明：  五阶CIC梳状积分滤波器，可以综合，非常有参考价值(Fifth-order CIC points comb filter, can be integrated and very useful)

this function block an Arbitrary image and take dct from each block. for check quality of reconstructed image calculated PSNR.