Assignment2

中文教程。本教程提供了使用MATLAB的实践性指导，它基于MATLAB6.0版，内容由浅入深，特别是本书对每一条命令的使用格式都作了详细而又简单明了的说明，并配备了例题加以说明其用法，因此，对于初学者自学是很有帮助的；同时，又对数学中的一些深入问题如数值分析、稀疏矩阵、优化理论以及模糊数学等问题进行了较为详细的论述，因此，该书也可作为科技工作者的科学计算工具书。(Chinese tutorial. The Guide provides practical guidance to the use of MATLAB, which is based on MATLAB6.0 edition, the content of easy-to-digest, especially the book on the use of each command formats are explained in detail and simple description and sample questions to be equipped with its usage, therefore, self-study is very helpful for beginners At the same time, some of mathematics in depth issues such as numerical analysis, sparse matrix, optimization theory and fuzzy mathematics, etc. more detail, therefore, the book can also be used as science and technology workers in scientific computing tool.)

这是一个matlab程序设计方面的文件。有助于学习和应用这一工具。(This is a Matlab program design documents. Contribute to the study and application of this tool.)

用matlab实现的jpeg2000 压缩 代码。(With jpeg2000 compression matlab code of the implementation.)

matlab filters for texture classification

有限自动机的确定化及化简 1、更正了 DFA_simplify2 中的错误 2、增加新旧状态对照表 ds_temp --NFA转DFA -- 输入字符 -- 要求 id 必须从 1 开始连续递增(Finite Automata and the identification of a simplification, correction of the errors DFA_simplify2 2, increase the old and new state CRT ds_temp-- NFA to DFA-- input characters-- must request id Start an incremental)

谐波信号提取程序，可以用于信号谐波分量的分离(The harmonic signal extraction procedures, can be used for separation of signal harmonic component)

用matlab软件实现二维的图像的处理，包括放大缩小旋转等(Realization of two-dimensional image processing using matlab software, including zoom and rotation)

该算法是以粒子群中粒子的收敛特性为基础,依据量子物理理论提出的,改变了传统粒子群算法的搜索策略,可使粒子在整个可行解空间中搜索寻求全局最优解。同时该算法的进化方程中不需要速度向量,而且进化方程的形式更简单,参数较少且容易控制。对两个算例进行仿真测试,证实该算法可有效解决经济负荷分配问题 性能对比显示,该算法求得的解优于已有的改进粒子群算法及其它优化算法所求得的解。(The algorithm is based on convergence particle swarm particle basis, according to the theory of quantum physics, particle swarm algorithm has changed the traditional search strategies, allow the particles throughout the feasible solution space search seek the global optimal solution. Meanwhile, the algorithm does not need velocity vector evolution equations, and evolution equations simpler and less parameters and easy to control. Two examples of simulation tests confirmed that the algorithm can effectively solve the economic load allocation performance comparison shows that the algorithm is superior to existing solutions obtained improved PSO algorithm and other optimization algorithms obtained solution.)

This code can be use in inversion of seismic data.

function [g, badg] = numgrad(fcn,x,varargin)