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matlab粗糙集课件,共六讲，讲解matlab下如何使用rough sets(matlab rough set courseware, a total of six speakers to explain how to use rough sets under matlab)

说明：  matlab语言编写的iris数据的单层感知器分类(matlab data written in a single layer perceptron iris classification)

这是数据挖掘领域总结的十大经典算法，有助于同学们研究(This is a summary of the top ten algorithms of the field of data mining to help students)

optimisation fuction matlab file

conventional coder for LTE-A

Stack Map Frame Visitor Source Code for Andriod.

2*1 alamouti code, MIMO Rayleigh fading Channel Capacity, and waterfilling

Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]

To solve this instance of the decision problem we must determine whether there is a truth value (TRUE or FALSE) we can assign to each of the variables (x1 through x4) such that the entire expression is TRUE. In this instance, there is such an assignment (x1 = TRUE,x2 = TRUE, x3=TRUE, x4=TRUE), so the answer to this instance is YES. This is one of many possible assignments, with for instance, any set of assignments including x1 = TRUE being sufficient. If there were no such assignment(s), the answer would be NO.

使用matlab语言实现现代信号处理_谱估计_周期图法(Modern Signal Processing PSD Period Graph Method.)