image-processing-and-recognition

通过matlab编写代码演奏的卡农，用的基准音，没有加入波形修饰所以音色比较单一(matlab matlab playing playing Khanom Khanom Khanom matlab played)

说明：  Numerical Analysis\Numerical Analysis-Numerical Methods Using MATLAB(Numerical AnalysisNumerical Analysis-Numerical Methods Using MATLAB)

AT91SRAM7 configuration file is very good very practical hope to help you. Learn each other and work together. Take out a Shared

自己写的关于方程求根的matlab程序，仅供参考(Roots of equations to write about the matlab program, for reference only)

说明：  通过对独立分量分析算法的研究，介绍了该算法的基本模型及目前应用最广泛的快速定点ICA算法的数学原理．通过仿真试验结果表明，用该算法对随机混合的3幅图像进行盲分离，取得了理想的效果．(By independent component analysis algorithm, introduced the algorithm for the basic model and is currently the most widely used fast fixed-point ICA algorithm of mathematical principles. Through the simulation test results show that the algorithm to a random mixture of three images in blind source separation, and achieved the desired results.)

维诺图 分治法 特别的实现方法 速度为n的平方及(Voronoi )

说明：  K-SVD算法程序，利用聚类算法对字典进行训练(K-SVD algorithm program, the use of clustering algorithm is trained on a dictionary)

Diskstra最短路径算法的c++源程序，以及编译好的matlab动态链接库，学习留形学习算法及程序必备。(Diskstra shortest path algorithm c++ source code, and compiled matlab dynamic link library, learning algorithms and procedures remain an essential form of learning.)

猴子摘桃海滩上有一堆桃子，五只猴子来分。第一只猴子把这堆桃子凭据分为五份，多了一个，这只 猴子把多的一个扔入海中，拿走了一份。第二只猴子把剩下的桃子又平均分成五份，又多了 一个，它同样把多的一个扔入海中，拿走了一份，第三、第四、第五只猴子都是这样做的， 问海滩上原来最少有多少个桃子？(Peach Monkeys on the beach there is a pile of peaches, five monkeys for points. The first monkey peach credentials this heap is divided into five copies, more than one, the monkey to more than one thrown into the sea, took a. The second monkey the rest of the peaches and what the average is divided into five, and there are one, and it is likewise more than one thrown into the sea, took a third, fourth, fifth monkeys are actually doing that , the question on the beach for at least the number of the original peach?)

调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧, ( The debugging uses the Matlab edition is 6.5, gatbx-toolbox debugs the toolbox which in the process uses, somewhat warm-hearted ground the friend already to provide this toolbox, the reason that pasted again, was because under 6.5 editions debugged this toolbox to be able to present some wrong prompts, had already carried on the correction in this edition, will use this toolbox only to need to compress package of under gatbx and gatbx Test_fns joins to the Matlab search path then, moreover gatbx-origin was the primitive edition toolbox which the Sheffield university provided, has not made any modification, both might make the comparison are the example debugging sound code and various examples debugging explained with 3.gatbx-example, everybody might compare the original bookCarries on comparison 4. in my opinion under the gatbx toolbox s to be able to let the human compared with Matlab7 update gads toolbox be familiar with the understanding genetic algorithm principle and)