HistogramEqualization

用matlab语言编写的遗传算法工具箱，作为一种新的全局优化搜索算法,遗传算法以其简单通用、鲁棒性强、适于并行处理... (using Matlab language of the genetic algorithm toolbox, as a new search algorithm for global optimization, Genetic Algorithm with a simple, common, robust and suitable for parallel processing ...)

傅里叶变换的程序，是matlab的m文件，可以直接运行(Fourier transform procedure is matlab m-files can be run directly)

文章描述的是如何使用matlab设计一个可视化的界面，其中很详细的描述了每一步应该如何操作，具有不错的借鉴意义。(The article describes how to use matlab to design a visual interface, which is described in great detail how each step should be, with a good reference.)

K均值聚类算法,短小实用。可以试一试哈。(k-means cluster. Matlab Code.)

利用小波进行图形的降澡,对于一般的图像来说效果明显(Carries on the graph using the wavelet to fall the bath, is obvious regarding the general image effect )

matlab实现数字调制ASK FSK PSK(matlab digital modulation ASK FSK PSK)

非线性系统分析与仿真，非线性系统分析与仿真(Nonlinear system analysis and simulation, non-linear system analysis and simulation)

Simulation of basic circuit eletric

matlab利用分支定界法求解整数规划的m函数文件，有详细的输入说明(matlab using the branch and bound method for solving integer programming m-function file, a detailed description of the input)

传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出，其主要特点是直接对结构对象进行操作，不存在求导和函数连续性的限定；具有内在的隐并行性和更好的全局寻优能力；采用概率化的寻优方法，能自动获取和指导优化的搜索空间，自适应地调整搜索方向，不需要确定的规则。遗传算法的这些性质，已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。它是现代有关智能计算中的关键技术(Propagation algorithm (Genetic Algorithm) is a law of evolution in biology class reference (survival of the fittest, survival of the fittest genetic mechanisms) randomized search method evolved. It was first proposed by the United States J.Holland professor in 1975, and its main feature is to operate directly on the structure of the object, the continuity of the derivative and the function limitation does not exist with global implicit parallelism inherent and better optimization capability the use of probabilistic optimization method that can automatically obtain and guidance to optimize the search space adaptively adjust the search direction, the rule does not require determined. The nature of the genetic algorithm, has been widely used in combinatorial optimization, machine learning, signal processing fields, such as adaptive control and artificial life. It is about smart modern computing key technologies)