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基于信号匹配原理的三阵元信号方位估计的方法(Based on the principle of signal matched the three array element signal DOA estimation methods)

Matlab Script that simulates PID design

基于支持向量机传感器故障诊断Matlab原程序( Fault Diagnosis Based on the SVM)

自绘图函数 数字信号处理时域绘图 丁玉美-time stem tstem mstem(Since the mapping function when the domain of digital signal processing graphics Ding Yumei-time stem tstem mstem)

code for denoising and restoration using total variation restoration regularization

This paper focuses on a Matlab/SIMULINK model of a photovoltaic cell. This model is based on mathematical equations and is described through an equivalent circuit including a photocurrent source, a diode, a series resistor and a shunt resistor. The developed model allows the prediction of PV cell behaviour under different physical and environmental parameters. The model can also be used to extract the physical parameters for a given solar PV cell as a function of temperature and solar radiation. In addition, this study outlines the working principle of PV module as well as PV array. In order to validate the developed model, an experimental test bench was built and the obtained results exhibited a good agreement with the simulation ones.

说明：  模拟退火处理tsp问题，matlab 代码(tsp problem matlab code)

Analog Filters Using MATLAB, 2009 很好的一本模电书，详尽描述了用Matlab设计模拟滤波器的方法，没有深奥的数学，非常棒！(The Analog the Filters Using MATLAB, 2009 good one mode power book, a detailed description of the design of analog filters using Matlab, not esoteric mathematics, great!)

非线性信道matlab仿真程序，可以实现色散和非线性效应(nonlinear fiber)

本书是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩，以及最新的信号和图像的提升小波变换等内容；第3部分主要介绍了小波工具箱的应用基础，以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。 (This book is one of MATLAB application technology Series on the latest MATLAB Wavelet toolbox in Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multi-resolution analysis and orthogonal wavelet transform, wavelet transform and multi-sampling filter banks, two dimensional wavelet transform and image processing and the basic principle of wavelet packet etc part 2 highlights in detail using wavelet analysis toolbox, including a graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform MATLAB implementation of wavelet packet transform MATLAB realize, signal and image noise reduction and compression, as well as to enhance the latest signal and image of the wavelet transform and other content part 3 introduces the application of bas)