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通信系统仿真原理与无线应用配套MATLAB代码(Wireless communications system simulation theory and applications supporting MATLAB code)

澳门大学钱涛教授开发的自适应傅里叶变换软件系统，附有使用手册，源码齐全，可世界使用，能实现信号的自适应分解。(Macao university professor Qian Tao developed adaptive Fourier transform software system, with a manual, complete source code, can be used in the world, to achieve adaptive decomposition of the signal.)

关于统计学习正则化的阈值算法，对现有的最小二乘问题进行扩展。(On statistical learning is the threshold algorithm is based on the expansion of the existing least squares problems.)

mk突变点分析； 输入：x是数据序列；sy是起始年份或序号（做图的时候会用到）(mk point mutation analysis Input: x is a data sequence sy is the initial year or serial number (do figure it will be used))

matlab中对于坐标轴风格的定制，可以显示的更加精细化和美观(matlab axis style custom)

说明：  差分粒子群算法是一种新的模仿鸟类群体行为的智能优化算法，现已成为进化算法的一个新的重要分支。在基本粒子群算法和改进粒子群算法原理的基础上，实现了粒子群算法在函数优化、图像压缩和基因聚类中的应用。(Differential particle swarm optimization (DPSO) is a new intelligent optimization algorithm which imitates the behavior of bird swarm. It has become a new important branch of evolutionary algorithm. Based on the basic particle swarm optimization (PSO) algorithm and the improved principle of PSO, the application of PSO in function optimization, image compression and gene clustering is realized.)

平行平面谐振腔自再现模分析，基于MATLAB的，适合光学专业的学生(Plane parallel resonator mode analysis of self-representation, based on MATLAB and students for optical)

基于粒子群算法的PID参数设置。其中程序比较先进。(Particle Swarm Optimization Based on the PID parameters. One of the more advanced procedures.)

说明：  用MATLAB编写离散小波变换实现数字水印技术(Discrete wavelet transform digital watermarking technology)

下面是我编的一个软硬阈值去噪的matlab程序 下面是我编的一个软硬阈值去噪的matlab程序：thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr = sigma* (2* lgN) 1/2/lg (j+1) by [x, xn] = wnoise (2,10,6) noise test data(thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr = sigma* (2* lgN) 1/2/lg (j+1) by [x, xn] = wnoise (2,10,6) noise test data)