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GP_CD
对所采集到的非线性信号进行数据预处理,消除趋势项,球得其关联维数(Of the collected data pre-processing of nonlinear signals, eliminating the trend, the ball get the correlation dimension)
- 2007-09-27 09:56:52下载
- 积分：1
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maltlab-simulation
本文件包括matlab 仿真内容 有 四阶龙库格 函数仿真 等(This document contains the contents of matlab simulation of fourth-order function of simulation cell Long Library)
- 2009-12-27 15:27:37下载
- 积分：1
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shapecontext
shape context matlab 实现(shape context matlab code)
- 2012-09-08 20:24:59下载
- 积分：1
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houghline1
hough直线变换，返回原图像并得出边缘检测的结果(hough transform straight, return to the original image and the outcome of edge detection)
- 2015-03-26 16:20:27下载
- 积分：1
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Using-Over-complete-subband-
Using Over complete subband
- 2014-02-20 08:44:32下载
- 积分：1
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ISCAS05
This is face recognition system developed using matlab. this is a paper best describes methods of face recognition using matlab.
- 2009-06-07 21:39:38下载
- 积分：1
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mathmodel2
说明： 1.1 背包问题
有一个徒步旅行者，已知他能承受的旅行背包的重量不超过a（kg）。设有n种物品可供他选择装入背包，这n种物品分别编号为1，2，…，n。其中第i种物品每件的重量为ai（kg），其使用价值（指一件第i种物品对旅行者来说所带来的好处的一种数量指标）为ci（i＝1，2，…，n）。问这位旅行者应如何选择携带这n种物品的件数，使得总价值最大？
(1.1 knapsack problem is a hikers. he is known to travel to withstand the weight of the backpack not exceed a (kg). N Species with articles for his choice loaded backpack, n product were numbered 1, 2, ..., n. I first of which product each ai of the weight (kg), its value (i refers to a section of the types of items travelers the benefits brought by a number of indicators) for the ci (i = 1, 2, ..., n). Asked how travelers who choose to bring this product to the n pieces, making the total value of the largest?)
- 2006-04-13 18:47:43下载
- 积分：1
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clark
自己建立的clark变换模块，根据TI公司永磁电动机例程编写(clark transform model created by myself， based on TI s permanent magnet motor routine)
- 2012-04-09 14:55:22下载
- 积分：1
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kmeans
k-means 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。(K-means algorithm accept parameter k Then will the n of prior input data object is divided into k clustering to make won clustering meet: the same clustering the object in the similarity is higher And different clustering the object in the smaller similarity. Clustering similarity is using the cluster of the object in the mean gained a "center object" (the center of gravity) to calculate.
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- 2011-06-26 19:51:58下载
- 积分：1
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users_guide
医学超声成像权威仿真软件Field Ⅱ使用说明书(Authoritative medical ultrasound imaging simulation software Field Ⅱ manual)
- 2013-10-05 21:58:37下载
- 积分：1
