joint-task-constraints-v2.0

次压缩文件汇集了几部较为经典的MATLAB编程指导及几百个基础的编程实例，对于进一步提高编程能力及初学者都有很好的帮助，希望对大家有用(Times compressed file brings together several classic the MATLAB programming guide and hundreds of programming examples, and has a good help to further improve programming ability and beginners, hope to be useful)

OSCILLATOR DESIGN HARTLEY

The problem of enhancing speech degraded by uncorrelated additive noise, when only the noisy speech is available, has been widely studied in the past and it is still an active field of research

TE模特征方程的MATLAB图解TE模场分布的MATLAB图示(TE mode characteristic equation of the MATLAB graphical TE mode field distribution of the MATLAB icon)

《MATLAB函数速查手册》较全面地介绍了MATLAB的函数，主要包括MATLAB操作基础、矩阵及其基本运算、与数值计算相关的基本函数、符号运算的函数、概率统计函数、绘图与图形处理函数、MATLAB程序设计相关函数、Simulink仿真工具函数、图形用户界面制作函数、信号处理工具箱函数和符号数学工具箱函数等内容。(The MATLAB function Quick Reference " comprehensive MATLAB functions, including the MATLAB operation based matrix and its basic operations, and numerical calculation of the basic function, the function of symbolic computation, a function of probability and statistics, graphics and graphics processing function MATLAB programming function, function of Simulink simulation tools, graphical user interface making function, signal processing toolbox functions and symbolic math toolbox functions and other content.)

本资源主要对矩阵分解中的LU分解、LDL’分解、乔列斯基分解，以及无约束最优化领域中的最速下降法、牛顿法、拟牛顿法的原理、步骤和算法进行了简要介绍，并对各种方法进行了Matlab编程实验，得到了较好的结果。 本资源包含了《矩阵分解及无约束最优化方法的原理和应用简介》文档以及其中用到的全部Matlab程序，非常适合初学者学习与研究。(The resources are mainly in the matrix decomposition LU decomposition, LDL decomposition, Cholesky decomposition, and unconstrained optimization field steepest descent method, Newton s method, the principle of quasi-Newton methods, procedures and algorithms are briefly introduced, and various methods of Matlab programming experiment, get a better result. This resource contains a matrix decomposition and unconstrained optimization methods Introduction to the principles and applications which uses all the documents and Matlab program, ideal for beginners learning and research.)

Simple Filters: Echo and Reverb

AN ANN BASED APPROACH FOR OPTIMAL PLACEMENT OF DSTATCOM FOR VOLTAGE SAG MITIGATION(Voltage sag has been considered as one of the most harmful power quality problem as it may significantly affect industrial production. This paper presents an Artificial Neural Network (ANN) based approach for optimal placement of Distribution Static Compensator (DSTATCOM) to mitigate voltage sag under faults. Voltage sag under different type of short circuits has been estimated using MATLAB/SIMULINK software. Optimal location of DSTATCOM has been obtained using a feed forward neural network trained by post-fault voltage magnitude of three phases at different buses. Case studies have been performed on IEEE 14-bus system and effectiveness of proposed approach of DSTATCOM placement has been established)

embedded Matlab code for lms

An Introduction to Programming and Numerical Methods in MATLAB - S.R. Otto & J.P. Denier