最短路

Solving ODEs with Matlab 一书的所有m文件

说明：  这是一本有关MATLAB的参考书，适合于使用MATLAB或正在打算使用MATLAB的读者。本书另辟蹊径可以借助或不借助MATLAB随带的文档资料让读者自学MATLAB。书中口语化的风格,使读者易于阅读。本书提供了读者精通MATLAB所需的工具。作为编程语言和可视化工具,MATLAB具有丰富的一系列功能,可解决工程、科学计算和数学学科中许多问题。本书的基本目的是通过向读者展示如何有效地使用这些功能来帮助读者增强工作能力。由于MATLAB交互式的性质,书中内容以举例方式来描述。在读者阅读本书的同时, 这些例子可以通过运行MATLAB而再现。(This is a reference book about MATLAB, suitable for use or are planning to use MATLAB MATLAB readers. This book can help open a new path, or without the aid of MATLAB documentation that comes with the reader learning MATLAB. Colloquial style of the book, the reader is easy to read. This book provides readers the tools needed to master MATLAB. As a programming language and visualization tools, MATLAB has a rich range of functions, solve engineering, scientific computing and mathematical disciplines, many of the problems. The basic purpose of this book by showing readers how to effectively use these features to help readers enhance the ability to work. As the interactive nature of MATLAB, the book by way of example, to describe the content. While the reader to read the book, these examples can be reproduced by running the MATLAB. )

采用Landweber方法进行反卷积，迭代次数需要自己设定(deconvolution with Landweber)

MEDLL算法多径参数估计，2012b上可以运行，添加了高斯白噪声； 应用于多径检测和抗多径； 函数的输入是相关峰采样；(MEDLL Multipath parameter estimation algorithm can be run on the 2012b, add Gaussian white noise used in multipath detection and anti-multipath input function is the correlation peak sampling )

能够很准确的计算单输入单输出系统的信噪比。(Very accurate calculation of the SNR of the single-input single-output system.)

matlab中用梯度下降法进行线性回归，是机器学习的例程。很好很实用。(machine learning.linear regression and gradient descent way.)

利用matlab软件实现对图像HSV参数轮廓提取，边缘检测提取(Using matlab software for image HSV parameters contour extraction, edge detection to extract)

来自国外的用于相机标定的源代码，用matlab语言编写(from abroad for the camera calibration of source code, using Matlab language)

《MATLAB有限元分析与应用》一本不错的教材(MATLAB finite element analysis and application)

02 MATLAB 7.0实用宝典：MATLAB 7.0实用宝典(02 MATLAB 7.0 Practical Collection: MATLAB 7.0 Practical Collection)