一阶Keystone变换Keystone

《MATLAB程序设计教程》电子教案-2660(the course of matlab programming)

六个信号的小波时间熵进行比较，在同一图上画出六信号波形(Six wavelet entropy to compare the time in the same graph draw the six signal waveforms)

用于参数估计的极大似然估计法,简单，适用，方便(Maximum Likelihood method for parameter estimation，Simple, convenient, applicable)

RSA公钥密码体制的matlab实现，这是密码学的加密算法之一(RSA public-key cryptosystem implementation of matlab, Cryptography This is one of the encryption algorithm)

this code gives various types of filter designs like chebbyshev and butterworth filters

本书第一章系统讲述MATLAB6.5的集成工作平台，引导读者初会MATLAB基本用法。第二、三章系统叙述MATLAB6.1的四大基本数据类型（数值数组、字符串数组、元胞数组、构架数组），至于其它扩展数据类型（函数句柄、符号数据、内联函数、unit数组、稀疏类）则另辟章节专述。此后，本书用九个独立章分述MATLAB6.5的数值计算、符号计算、函数和数据可视、面向对象编程、GUI交互操作界面设计、EXE独立应用程序生成、实现不同软件平台交互的API、M-book数据图形文字环境集成等八大通用功能。本书用专门的一章深入浅出地阐明SIMULINK的分层建模、仿真功能、与MATLAB交互的功能。(The first chapter of this book the system tells MATLAB6.5 of integrated working platform, guiding the reader will be the beginning of MATLAB basic usage. The second and third chapters system described the MATLAB6.1 four basic data types (numeric array, string array, cell array, the array architecture), as extended data types (function handle symbol data, inline functions, unit array , the sparse class) are covered in separate chapters specifically mentioned. Since then, with nine separate chapter book are as MATLAB6.5 the numerical computation, symbolic computation, functions, and data visualization, object-oriented programming, GUI interactive interface design, EXE standalone application generation, different software platform to interact The data graphics API, M-book text environment integration Eight generic function. Book special chapter layman' s language to clarify SIMULINK hierarchical modeling, simulation capabilities, and MATLAB interaction.)

线性调频脉冲信号压缩,matlab程序,脉冲压缩实验(Chirp signal compression matlab program)

用matlab脚本文件实现的位置式及增量式PID控制算法程序(using Matlab script file to achieve the type and location of incremental process PID control algorithm)

线性神经网络的MATLAB程序编写，实现神经网络功能(Linear-matrix-neural-network)

same as optical flow in image