feixianxingzuixiaoerchengyouhua

这段程序是关于matlab中的图论问题，结合相应的程序会很好的解决图论的相关问题，大家有兴趣的可以看看。。。(This program is about matlab problem in graph theory, combined with the appropriate procedures will be a good solution to the problem related to graph theory, we are interested can look at. . .)

说明：  作业车间调度问题(JSP)简单来说就是设备资源优化配置问题。作业车间调度问题 是计算机集成制造系统(CIMS)工程中的一个重要组成部分,它对企业的生产管理和控制 系统有着重要的影响。在当今的竞争环境下,如何利用计算机技术实现生产调度计划优 化，快速调整资源配置，统筹安排生产进度，提高设备利用率已成为许多加工企业面临 的重大课题.近年来遗传算法得到了很大的发展，应用遗传算法来解决车间调度问题早 有研究。(Job shop scheduling problem (JSP) is simply the problem of optimal allocation of equipment resources. Job shop scheduling problem It has become a challenge for many processing enterprises to adjust resource allocation, arrange production schedule as a whole and improve equipment utilization It is an important subject for us to study. In recent years, genetic algorithm has been greatly developed. It is very early to apply genetic algorithm to solve job shop scheduling problem)

针对一个混和正弦波信号，设计FIR滤波器，给出了三种设计方法：凯塞窗函数设计带通滤波器法、FDATool设计法实现凯塞窗函数滤波器的低通、带通和高通三种滤波效果以及椭圆低通滤波器的设计法。利用matlab软件实现。(Sine wave for a mixed signal design FIR filter, gives the three design methods: Kaiser window function design band-pass filter method, the FDATool Design Kaiser window function low-pass filter, band-pass and high passthree filter effects, and elliptic low-pass filter design method. Using matlab software.)

参数辨识程序，理论基础为递推最小二乘法，实现对系统参数的辨识(parameter identification)

[ebook] DSP - Introduction to Signal Processing (code in C & MatLab)

主要用于直线检测，可以检测多条直线，但参数设置不好的话，效果并不是很好(Line detection)

The attachment consists of a source code that performs malarial segmentation using k-means clustering.It also contains HUI conversion of an malarial image.Water shed algorithm applied on a cel image , and detection of water ridge lines for dental x ray image

canny edge detector coding

Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a difficult task to obtain an explicit expression of for large time varying systems. This paper looks at an adaptive Kalman filter method for dynamic harmonic state estimation and harmonic injection tracking.(Knowledge of the process noise covariance matrix is essential for the application of Kalm an filtering. However, it is usually a difficult task to obtain an expli cit for large expression of time varying system s. This paper looks at an adaptive Kalman filter method for dynamic estimation a harmonic state nd harmonic injection tracking.)

Controllability of a system