悬臂梁MATLAB有限元算例带详细注释的这个算是半原创吧。师哥写的...

遗传算法的JAVA实现 做了一个简单函数优化示例~~~~~~体现了面向对象思想(JAVA realization of genetic algorithm to do a simple example of function optimization ~~~~~~ reflects the object-oriented thinking)

带白噪声的系统辨识仿真实验代码。系统参数在代码中给出。(A simulink of system identification with white noise.)

matlab案例，可以用于pls模型的建立(matlab case model can be used to pls)

MATLAB6_0基础及应用 _ 清源计算机工作室编著_ - [出版地不详]_ 机构_0(the basic knowledge of matlab6.0)

一维fdtd程序，自由空间，调制高斯脉冲波源(1 dimensional fdtd program)

一个描述FDTD的二维程序，对初学者很有帮助。(A description of two-dimensional FDTD program, useful for beginners.)

利用数学形态学开闭设计滤波器消除漂移信号(Opening and closing design using mathematical morphology filter to eliminate signal drift)

这是自适应均衡器的Matlab仿真实现的代码，能实现自适应均衡器的功能(matlab code)

DataDemon-时频分析解决方案 随着科技迅速发展，讯号分析处理者面临的是日趋庞大的计算数据量，和越来越复杂的仿真模式。如何缩短开发时间、节省研究经费、又能实现高效能、高弹性的运算平台供后续研究使用便越来越重要。 DynaDx提出DataDemon-时频分析解决方案，以组件组合的设计概念，免除繁杂程序写作方式，提供讯号处理的可视化控制组件，让处理讯号分析的过程就像拼组模型一般，使用者可依据自己的构想去组合出更多元之讯号分析呈现。不再需要从头撰写繁杂的程序代码便能使用各种讯号处理的算法，也不必将时间花在除错、评估程序运行效能，而能专注于研究目标的分析及后续应用的开发上。 (DataDemon-time-frequency analysis solutions With the rapid development of science and technology, signal analysis and processing is increasingly faced by the huge amount of data calculation, and increasingly complex simulation models. How to reduce development time, save research funding, but also to achieve high performance, flexible computing platform for subsequent research use have become increasingly important. DynaDx DataDemon-time frequency analysis proposed solutions to the design concept of component combinations, eliminating the complicated procedures written in a way to provide a visual signal processing control unit, so that the signal processing analysis process as spelled group of models in general, users can be based on their own idea to mix the signal out more element analysis presented. No longer need to write complicated code from scratch, will be able to use a variety of signal processing algorithms, nor do you have time to spend debugging, performance evaluation pro)

Relief计算分类权重，Pisarenko谐波分解算法,已经调试成功.内含m文件，可直接运行，关于小波的matlab复合分析，粒子图像分割及匹配均为自行编制的子例程，采用的是通用的平面波展开法。