bathe_time_new

锐化处理技术来加强图像的目标边界和图像细节，对图像进行梯度算子、拉普拉斯算子、Sobel算子设计，使图像的某些特征（如边缘、轮廓等）得以进一步的增强及突出(Sharpen the image processing techniques to enhance the objectives of the border and image detail, image gradient operator, Laplacian, Sobel operator design, some features of the image (such as edge, contour, etc.) can be further enhanced and prominent)

说明：  A Turbo code simulation in matlab

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.)

matlab针对股指期货的分笔数据做的交易策略(matlab trading system for index futures)

《MATLAB神经网络30个案例分析》中的第9个例子，案例9 离散Hopfield神经网络的联想记忆—数字识别。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 9, 9 cases of discrete Hopfield neural network associative memory- digit recognition. Hope to have certain help to everybody! )

用MATLAB编写的基于有限体积法求解二维浅水方程边界数值通量的Riemann求解器（HLL格式），可处理干河床问题，适用于规则网格及不规则网格，只需提供边界左右两侧的水深和流速以及外法线矢量(Written using MATLAB numerical flux based on the finite volume method for solving the two-dimensional shallow water equations boundary Riemann solver (HLL format), can handle the dry riverbed problem, applicable to a regular grid and irregular grid, just on both sides of the border around water depth and flow rate as well as outside the normal vector)

this file is simulation of OFDM

说明：  三维机织结构，根据平均化理论利用MATLAB实现编织结构弹性常数的预测，根据使用者输入参数不同，可求多种机织结构(Three-dimensional woven structure, according to the average theory using MATLAB to achieve the prediction of the elastic constants of woven structure, according to the user input parameters, can be different types of woven structure)

说明：  随机森林算法程序，用于对数据的仿真预测，是一个有用的算法(Random forest algorithm program)

matlab有限元求解2维poisson问题，支持变系数 GUI界面（含详细参数说明），附若干实例(matlab finite element for solving two-dimensional poisson issue, and support variable-coefficient GUI interface (including detailed parameter description), with a number of examples )