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EP1C6Q240C8的examples 鼠标口测试程序(The examples I EP1C6Q240C8 mouse test procedures)

该书第一章系统讲述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。(err)

数字图像纹理分割的一种简单易懂的方法 用matlab实现(A good idea for math picture)

This is WuSPT Matlab code This is WuSPT Matlab code

IEEE802.16系统规定的信道模型 适用于城市环境的SUI-3模型是WIMAX系统信道建模时的必备(Requirements for IEEE802.16 channel model applicable to the urban environment of the SUI-3 model is a WIMAX system channel modeling essential)

car licence number segmentation

盲源分离（BSS: Blind Source Separation），又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号（观测信号）中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道混合矩阵。(Blind signal separation (BSS), also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.)

goto matlab function

a modified version of henon algorithm

说明：  这是一个基于Matlab的电力系统潮流程序！(This is a Matlab-based Power Flow program!)