模型阶次辨识

实现OMP算法，即压缩感知的还原算法，将M*1的矩阵还原成N*1的稀疏矩阵,M<<N.(Implementing OMP algorithm)

说明：  光纤基模和第一高阶模特征方程求解 非线性方程求解(Solve the characteristic equation of the Fiber fundamental mode and the first high order model and the nonlinear equation solving)

分数阶统一混沌的实现程序。分数阶混沌改变参数即为洛仑兹、Lü以及 Chen系统。(Fractional order unified chaotic realization program. Fractional order chaotic change parameter is the Lorentz, L u and Chen system.)

说明：  对数字信号进行BFSK调制，然后通过高斯白噪声信号后，检测其误码率！(The program s function is to modulate a signal with BFSK,then let the signal go pass a channel of guassian white nosie.At last,The program detects the BER of the signal.)

matlab实现的RGB空间转换到HSI空间，以供参考(matlab realize RGB space conversion to HSI space for reference)

MATLAB语言与控制系统仿真ch3 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 ch3 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)

Implementation of the Murty algorithm to obtain the best K assignments. Includes the implementation of the Jonker-Volgenant algorithm. Usual applications are multiple target tracking algorithms, Joint Probabilistic Data Association (JPDA), Multiple Hypothesis Tracking (MHT), Global Nearest Neighbours (GNN), etc. Based on the original code by Jonker-Volgenant, and the Murty Matlab implementation by Eric Trautmann Can be used both from Java or Matlab. Time for a 100x100 assignment problem, with k=20: • Matlab implementation: 54.5 sec • Java implementation: 1 sec

ADD PEPPER NOISE AND REMOVE IT USING SOURCE CODE

ALO optimization Matlab code

现代通信系统(matlab版本)第二版，第一章的第一个例题程序.(Modern communication systems (matlab version) second edition, the first chapter of the first Example program.)