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调频系统仿真实例-调频系统仿真信号输出源代码(FM system simulation- Simulation FM signal output source code)

用matlab 软件进行图像处理，对比度、灰度处理。(Matlab image processing procedure, but the image contrast, gray processing. )

dijkstra计算最短路径，算法在优化、图像处理、网格处理等相关领域有非常广泛的应用，希望能借此机会了解其实质内容，并灵活应用其到所学领域中。(dijkstra calculate the shortest path algorithm optimization, image processing, mesh processing and other related fields have a very wide range of applications, hoping to take this opportunity to learn about its substance, and the flexibility to apply their learning to the field.)

说明：  小波分解后的能量谱代码，通过计算每一节点能量构造小波能量谱(The energy spectrum code after wavelet decomposition is used to construct the wavelet energy spectrum by calculating the energy of each node)

说明：  现代通信系统 使用matlab 刘树堂译 中文版pdf(The use of MATLAB in modern communication system)

神经网络向量机实现算法！(Neural network vector machine algorithm!)

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

本程序用蚁群算法求解经典旅行商问题最优路径问题，效果很好(aco,tsp,best path)

利用modmap函数对ask、fsk、msk以及psk进行使用说明(use modmap function ask, fsk, msk and psk for use)

基于bregman算法在一维、二维、三维信号处理中的应用matlab工具箱(This toolbox provides the source code associated with the Bregman Cookbook Doc: - BregmanCookbook.pdf In 1D: -L1_SplitBregmanIteration.m : performs the recovery of a sparse signal affected by a known linear operator In 2D: -AddCurveletArray.m : sum the curvelet coefficients of two decomposition structures -AddFrameletArray.m : sum the framelet coefficients of two decomposition structures -ATV_NB_Deconvolution.m : performs the Nonblind Anisotropic Total Variation Deconvolution -ATV_ROF.m : performs the Anisotropic Total Variation Denoising -ITV_ROF.m : performs the Isotropic Total Variation Denoising -Curvelet_NB_Deconvolution.m : performs the Nonblind Deconvolution based on Curvelet sparsity -Framelet_NB_Deconvolution.m : performs the Nonblind Deconvolution based on Framelet sparsity (Analysis approach) -Framelet_NB_Deconvolution2.m : performs the Nonblind Deconvolution based on Framelet sparsity (Synthesis approach) -ShrinkCurvelet.m : performs the shrinkage of cu)