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sift
说明: sift算法在matlab代码。对学习sift算法有很大帮助(sift algorithm in matlab code. Sift algorithm for learning a great help)
- 2020-12-10 11:09:18下载
- 积分:1
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iris-location
使用中科院虹膜数据库,实现了虹膜内外边界定位(Iris database using the Chinese Academy of Sciences, to achieve both inside and outside the iris boundary localization)
- 2011-04-19 17:03:21下载
- 积分:1
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stress
FEM膜单元模态、静力计算,matlab程序(Calculation of FEM membrane element modal, static, matlab program)
- 2014-11-29 20:20:37下载
- 积分:1
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funciones-idp
codigos para tales viendo un reinado chandoso con unas reinas feisimas como para cascarles pero con un tablon
- 2013-11-12 09:49:37下载
- 积分:1
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t-sGPC
基于T-S模型的广义预测控制,呈持续可以直接运行(Generalized predictive control program based on T-S model
)
- 2020-09-06 09:28:07下载
- 积分:1
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LMS
最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數,以類比所需理想濾波器的自適應濾波器,其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正,是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)
- 2019-02-21 22:43:06下载
- 积分:1
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pca02
PCA可以用于图像处理的盲检测,可以得到较好的效果(PCA can be used for image processing, blind detection, better results can be obtained)
- 2010-10-11 15:04:09下载
- 积分:1
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creaseg2010
code source matlab segmentation
- 2011-06-17 16:07:28下载
- 积分:1
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Grasp-and-Master--of-Matlab
分享给需要matlab的同学们~Share the need matlab classmates ~(Share the need matlab classmates ~)
- 2012-08-17 10:19:15下载
- 积分:1
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Predicting-the-geo-temporal-variation-of-crime-an
Traditional police boundaries—precincts, patrol districts, etc.—often fail to reflect the true distribution of criminal activity and thus do
little to assist in the optimal allocation of police resources. This paper introduces methods for crime incident forecasting by focusing upon
geographical areas of concern that transcend traditional policing boundaries.
- 2013-11-24 20:42:38下载
- 积分:1