binaryliquid

linear equation routines in matlab

这是一本关于神经网络的matlab实现详细指导书，很有参考价值！(This is a realization on the neural network matlab detailed guide book, a good reference!)

摘要: 这个程序用下拉菜单条的方式可变选取参数观测李萨如图形.用MATLAB编写(Abstract : This procedure using the drop-down menu, select the variable parameters observation Lissajous figures. using MATLAB)

THEORY OF ALL POWER SYSTEM DEVICES

this code is very usefull for class of cellular automata and implemented GKL rule

元胞自动机的STNS双车道模型，用于仿真道路交通流(Cellular automata STNS two-lane model for simulation of traffic flow)

Matlab code for generating FSK modulated signal

moduation and demodulation process using GUI

MATLAB语言与控制系统仿真ch1 本书基于MATLAB 5.2版，提供了使用MATLAB的实践性指导。MATLAB已成为适合多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型优秀应用软件，同时也已成为国内外高等院校高等数学、数值分析、数字信号处理、自动控制理论以及工程应用等课程的基本教学工具。本书按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是所有MATLAB书籍中少有的一大特色。 本书适合作为理工科高等院校研究生、本科生教学用书，也可作为广大科研工程技术人员的自学用书。(MATLAB language and Control System Simulation ch1 book based on MATLAB 5.2 version, to provide practical guidance for using MATLAB. MATLAB has become a suitable the multidisciplinary working platform powerful, user-friendly, natural language open large outstanding application software, as well as domestic and foreign institutions of higher learning higher mathematics, numerical analysis, digital signal processing, automatic basic teaching tools of control theory and engineering applications courses. The book is organized in a logical, throughout the examples described complete and relatively independent of each chapter is a concise MATLAB reference books, both for beginners and for advanced MATLAB users. Combined with the description of MATLAB and FORTRAN, C, and other languages ​ ​ is a rare feature in the books of all MATLAB. This book is suitable as a science and engineering universities graduate, undergraduate teaching books, the majority of scientific engineering and)

多尺度线调频基稀疏信号分解方法源代码，非常适用于多分量非平稳信号分解！(FM-based multi-scale line of source code for sparse signal decomposition method is very suitable for multi-component non-stationary signal decomposition!)