res

This program places dates on time axis as DATETICK and works with ZOOM and PAN as DATETICKZOOM by Christophe Lauwerys. But, it also shows the full date after zooming or panning by using the ticks and time-axis label. So, if you zoom in down to second, you won t loose "when" you are. The input arguments are equal to those of DATETICK function, but if more than one axis handle is specified, they all will be LINKED! Also, some other options are available, for example, the use of LOCAL LANGUAGE for the months (default), or the use of an specific date format: DD HH:MM SS.FFF for example. Besides, sometimes with DATETICK you don t get optimal results. This program (try to) fix this problem. Just use it after some plot function with days (see DATENUM) in one of his axis (time-axis): t = linspace(0,1) + now x = rand(size(t)) plot(t,x) axis tight tlabel <---- Enjoy it! Bugs reports and suggestions will be very appreciated! (This program places dates on time axis as DATETICK and works with ZOOM and PAN as DATETICKZOOM by Christophe Lauwerys. But, it also shows the full date after zooming or panning by using the ticks and time-axis label. So, if you zoom in down to second, you won t loose "when" you are. The input arguments are equal to those of DATETICK function, but if more than one axis handle is specified, they all will be LINKED! Also, some other options are available, for example, the use of LOCAL LANGUAGE for the months (default), or the use of an specific date format: DD HH:MM SS.FFF for example. Besides, sometimes with DATETICK you don t get optimal results. This program (try to) fix this problem. Just use it after some plot function with days (see DATENUM) in one of his axis (time-axis): t = linspace(0,1)+ now x = rand(size(t)) plot(t,x) axis tight tlabel <---- Enjoy it! Bugs reports and suggestions will be very appreciated! )

压缩感知——沙威编写 压缩感知基础编程 重构的基础编程(cs compressing sensing)

这个是本人自己做的一个matlab程序,希望大家可以能用到,2.4.6....32变为灰度(this is the doing of a Matlab procedures in the hope that we can use to be, 2.4.6 .... 32 into gray)

2012美国建模大赛B题代码，M奖队伍代码(2012 U.S. modeling contest code of Problem B, the M-Prize team code)

智能控制理论的各种算法及其应用，第一章为引言部分，概略控制理论和技术的发展、应用、复杂性等，对各章内容做一个大概的介绍；第二章介绍模糊逻辑基础，包括各种模糊基础模糊语言等；第三章主要讲模糊控制的概念、应用、范围和各种参数等；第四章介绍神经元网络的基本理论、神经网络基本模型等；第五章针对第四章的神经网络模型，提出了神经网络控制办法及其目的和各种模型；第六章讲了遗传算法，包括基本遗传算法，GA的实现技术等。本材料为东南大学和南京航空航天大学各相关工科专业的指导教材，为绝大多数老师所指定。(Various algorithms for intelligent control theory and its applications, the first chapter is an introduction part, the schematic control theory and technology development, application, complexity, do a general introduction to the contents of each chapter second chapter introduces the fuzzy logic base, blur the basis of fuzzy language Chapter the main stresses the concept of fuzzy control, application range and variety of parameters fourth chapter describes the basic theory of neural network, neural network model, etc. Chapter V for the first The four chapters of the neural network model, the proposed neural network control approach and its purpose, and a variety of models sixth chapter genetic algorithms, including the basic genetic algorithm, GA implementation techniques. This material is Southeast University and Nanjing University of Aeronautics and Astronautics and the related engineering guidance materials specified for the vast majority of teachers.)

MATLAB CODE FOR TIME DIVISION MULTIPLEXING SIGNALS

利用计量经济工具箱开发协整配对交易的案例共（共8个代码文件）(Cointegration and Pairs Trading with Econometrics Toolbox)

digital image filter

贝叶斯分类器的设计与实现，非常好的应用程序，能够在其上面实现人脸识别(Bayesian classifier design and implementation of a very good application, face recognition can be achieved in the above)

its a child puzzle fig....see it and try to deduce the code in matlab