matlab-LPF-FIR

基带数字传输系统matlab仿真 现代通信系统，使用matlab(Base-band digital transmission system matlab simulation of modern communication systems, the use of matlab)

这是一读取信号进行FM调制，可以是CMA盲均衡算法对FM信号做处理(This is a read signal to FM modulation, and can be CMA blind equalization algorithm processing the FM signal with)

2013年数学建模B题 功率放大器非线性特性及预失真建模的程序 可以直接测试运行 包含泰勒模型 多项式模型 神经网络模型等(2013 B title mathematical modeling and nonlinear characteristics of the power amplifier pre-distortion modeling program can be run directly test the model includes Taylor polynomial model neural network models)

温度场模型噪声添加程序，用于温度场重建使用和仿真验证(Add noise temperature field model program for the use of temperature field reconstruction and simulation)

generates putative matches between previously detected feature points in two images by looking for points that are maximally correlated with each other within windows surrounding each point.(generates putative matches between previ ously detected feature points in two images by l ooking for points that are maximally correlate d with each other within windows surrounding ea ch point.)

这里面是关于微波技术的一些试验程序，和仿真模型，主要有微带线，带状线，功率分配器，支节匹配器(This is on microwave technology, which some experimental procedures, and simulation models, mainly microstrip, stripline, power divider, branch of the matcher)

Example: A = double(imread( fingerprint.png ))/255 B = coherencefilter(A,4, sigma ,1.5, rho ,5) image(min(max(B,0),1)) axis image [1] Weickert, J. 1996. Anisotropic Diffusion in Image Processing. Ph.D. Thesis, Dept. of Mathematics, University of Kaiserslautern, Germany, pp. 42-43, 80-82, 107. Pascal Getreuer 2008-2009

用路径跟踪法求解不等式约束的凸二次规划，即沿着此路径(或邻域)可以逼近问题的最优解。(With the path tracking method for solving inequality constrained convex quadratic programming, that along this path (or neighborhood) can approximate the optimal solution of the problem.)

本仿真为电动汽车充电桩设计，采用了隔离式的DC/DC环节(Simulation to charge electric cars pile design, isolated DC/DC link)

主要包括图像的中值、均值去噪、非局部均值、分块局部去噪算法；还有均方误差和峰值信噪比评价、以及matlab基础学习资料如边缘检测、小波变化、灰度值转换等(Including image median, mean denoising, non-local means, block local denoising algorithm also mean square error and peak signal to noise ratio evaluation, and matlab based learning materials such as edge detection, wavelet transform, gray scale value conversion wait)