fdtd2D

第7章语音信号的减噪176 7.1自适应滤波器减噪176 7.1.1LMS算法基本原理176 7.1.2基本LMS自适应算法178 7.1.3LMS的自适应陷波器181 7.2谱减法减噪184 7.2.1基本谱减法184 7.2.2改进的谱减法187 7.3维纳滤波法减噪195 7.3.1维纳滤波的基本原理195 7.3.2维纳滤波减噪的具体步骤和函数WienerScalart96197 7.3.3维纳滤波的MATLAB例子199(Noise Chapter 7 of the speech signal noise reduction algorithm for adaptive filters 176 7.1 Fundamentals 7.1.2 Basic LMS adaptive algorithm 176 178 7.1.3LMS of 176 7.1.1LMS adaptive notch filter 181 7.2 184 7.2 spectral subtraction noise reduction 184 7.2.2 .1 basic spectral subtraction improved spectral subtraction method of noise reduction Wiener filter 187 195 7.3 Fundamentals 7.3.1 195 7.3.2 Wiener filtering Wiener filter noise of concrete steps and functions WienerScalart96197 7.3.3-dimensional MATLAB examples Carolina filter 199)

小波改进阈值去噪，并分析去噪后信号的信噪比和均方误差(Improving threshold denoising by wavelet transform and analyzing signal-to-noise ratio and mean square error of denoised signal)

2DTE波的数值模拟，用Matlab编写的，with PEC金属边界条件和PML吸收边界条件。(2DTE wave numerical simulation, using Matlab prepared, with PEC metal PML absorbing boundary conditions and boundary conditions.)

说明：  In computer science, differential evolution (DE) is a method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. Such methods are commonly known as metaheuristics as they make few or no assumptions about the problem being optimized and can search very large spaces of candidate solutions. However, metaheuristics such as DE do not guarantee an optimal solution is ever found.

一个关于线性矩阵不等式LMI的算法，简要介绍如何编程和求解的。(an algorithm about the linear matrix inequalities.)

交通流元胞自动机Matlab源代码 *跟驰功能 *换道功能*元胞空间定义功能*车辆定义功能*驾驶员特性定义功能*发车密度定义功能*信号配时定义功能*换道比例定义功能(Traffic flow cellular automata Matlab source code* follow the function * lane changing function* unit cell space definition function* vehicle definition function* driver characteristics definition function* departure density definition function* signal timing definition function* changing channel proportion definition function)

Regularized OMP by Vershyn and Kneedell

this code has an amplitude modulation with plots.

在本讲义中，我们将着重讲述一些数学建模中常用的算法，包括神经网络算法、遗传算法、模拟退火算法和模糊数学方法。(In this lecture, we will focus on talk about some commonly used mathematical modeling algorithms, including neural networks, genetic algorithm, simulated annealing algorithm and fuzzy mathematics.)

Chevyshev algoritmo de filtro