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BilateralFiltering
Bilateral Filtering原始碼和測試圖片(Source code and test images Bilateral Filtering)
- 2011-01-08 13:50:14下载
- 积分:1
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midfilter
matlab环境下利用中值滤波函数对黑色图像的还原处理(Matlab environment using median filtering function reduction treatment on black image)
- 2012-11-14 20:46:42下载
- 积分:1
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Assignment
its is very good code for edge detection...
- 2009-11-17 18:24:44下载
- 积分:1
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MODIFIED_MULT
粒子群算法的说明,以及它在解决多目标问题时候的先进性。(Particle Swarm Optimization)
- 2013-04-16 09:14:11下载
- 积分:1
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BT_Fitler
Matlab代码用Bilinear Transformation方法实现低通,带通,高通,带阻滤波器设计。(Using MATLAB m-file to design LP, BP, HP, BS fitlers by Bilinear Transformation method.)
- 2010-06-27 03:36:20下载
- 积分:1
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matrix
详细介绍了Matlab中矩阵、数组的生成及赋值方法等,适合初学者。(A detailed introduction about how to produce a matrix which is particularly suitable to novices.)
- 2011-08-29 20:09:53下载
- 积分:1
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pls_2.1-0.tar
做主成分回归和偏最小二乘回归,效果比较好,别人做的,我参与考了一下。(Master component regression and partial least-squares regression, the effect is better, someone else to do, and I participate in a bit test.)
- 2007-10-24 21:25:16下载
- 积分:1
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floydmatla
通用的floyd算法程序,能够很好地解决最短路径问题,同时给出最短路的具体路径。(Floyd algorithm universal procedures, able to solve the shortest path problem, shortest path at the same time given the specific path.)
- 2007-11-24 13:17:00下载
- 积分:1
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CS_OMP
OMP算法的MATLAB实现,实验信号为X,为一模拟信号,通过正交匹配跟踪算法来实现信号的重构。(OMP algorithm of MATLAB, and experimental signal for the X, for analog signals, orthogonal matching pursuit algorithm for signal reconstruction.)
- 2010-05-05 15:07:39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