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LMS
用LMS算法预报时间序列,对比真实值和预报值(LMS algorithm with time-series prediction, compared to the true value and forecast value)
- 2009-12-04 10:38:54下载
- 积分:1
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toolbox
contourlet的MATLAB工具箱(toolbox of contourlet)
- 2009-05-27 17:57:14下载
- 积分:1
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lecture8graphicaluserinterface
gui notes describing gui guide
- 2010-12-29 00:28:32下载
- 积分:1
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rengongyuqun
说明: 在matlab环境下用智能算法--人工鱼群算法求函数极值的matlab程序(In the matlab environment with intelligent algorithm- artificial fish-swarm algorithm for the extremal function matlab program)
- 2008-10-10 19:31:47下载
- 积分:1
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noise
说明: 如何使用同余法生成白噪声
如何使用白噪声通过3种不同的iir滤波器生成粉红噪声(How to use the same method to generate more than white noise white noise through the use of three kinds of different filter iir Pink Noise Generator)
- 2009-08-20 15:51:43下载
- 积分:1
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single
基于matlab下simulink的模糊控制(fuzzy control)
- 2012-05-21 09:46:08下载
- 积分:1
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matlab-SIMO-control
微机控制系统大作业单输入单输出,多输入单输出控制matlab程序,(The microcomputer control system project single input and single output, many input single output control matlab,
)
- 2011-07-17 18:01:56下载
- 积分:1
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GetCenterPoint
由一张图像提取圆形的边缘,得到离散的点来拟合椭圆,并简单的去除噪声,得到椭圆中心坐标.(Extracted by a picture rounded edges to fit the discrete points oval, and simply remove noise, get the coordinates of the center of the ellipse.)
- 2020-11-01 10:59:54下载
- 积分:1
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sift
1 SIFT 发展历程
SIFT算法由D.G.Lowe 1999年提出,2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式,对其进行改进。
2 SIFT 主要思想
SIFT算法是一种提取局部特征的算法,在尺度空间寻找极值点,提取位置,尺度,旋转不变量。
3 SIFT算法的主要特点:
a) SIFT特征是图像的局部特征,其对旋转、尺度缩放、亮度变化保持不变性,对视角变化、仿射变换、噪声也保持一定程度的稳定性。
b) 独特性(Distinctiveness)好,信息量丰富,适用于在海量特征数据库中进行快速、准确的匹配[23]。
c) 多量性,即使少数的几个物体也可以产生大量SIFT特征向量。
d) 高速性,经优化的SIFT匹配算法甚至可以达到实时的要求。
e) 可扩展性,可以很方便的与其他形式的特征向量进行联合。
4 SIFT算法步骤:
1) 检测尺度空间极值点
2) 精确定位极值点
3) 为每个关键点指定方向参数
4) 关键点描述子的生成
本包内容为sift算法matlab源码(1 SIFT course of development
SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement.
2 the SIFT main idea
The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant.
3 the main features of the SIFT algorithm:
a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability.
b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23].
c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors.
d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements.
e) The scalability can be very convenient fe)
- 2012-05-25 15:31:16下载
- 积分:1
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acquire
matlab实现对ccd相机的实时采集,gui显示图像,并进行处理(matlab to realize real-time acquisition ccd camera, gui display images, and processing)
- 2013-10-28 10:12:55下载
- 积分:1