disparity-map

三维时钟。很漂亮，很好看，很励志，而且和本机时间一致，走的很准！(3D clock)

本源码提供LMS算法的几种实现形式，分为256个信号点和1024个信号点。对理解LMS滤波器有很好的用处(The source provided several LMS algorithm implementation form, divided into 256 signal and 1024 signal. Have a good use for understanding the LMS filter)

This paper show the signal processing applied to matalab programming as it is a tool for daily use in the study of engineering, mathematical and algorithmic develop processes to obtain a graphical interface to teach us several processes as seen in class are graphical representation of the signals, the transformation of the independent variable, the convolution process and some applications of singular functions.

MATLAB环境下ISI信道仿真及自适应均衡器设计程序说明.(matlab LMS )

matlab编程设计之人脸图形模糊性算法源码matlab Programming for face graphics Fuzzy algorithm source code(matlab Programming for face graphics Fuzzy algorithm source code matlab Programming for face graphics Fuzzy algorithm source code)

数字预失真的很好的算法，从原理到算法都给出比较详细的说明，对初学者有很大的帮助。(A good digital pre-distortion algorithm to the algorithm are given from the principle of a more detailed explanation, very helpful for beginners.)

code matlab pour ondelettes

说明：  在matpower的基础上改动的、比较好的一个潮流计算程序！(Matpower the basis of the changes, a trend of a better program!)

全面、基础、简单易懂地介绍 matlab SIMUlink 仿真用法。(Comprehensive, basic, easy-to-understand introduction to the usage of Matlab Simulink simulation.)

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)