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ASK-FSK-PSK
基于决策论的数字通信信号的调制识别 2ASK 4ASK 2FSK 4FSK 2PSK 4PSK(2ASK 4ASK 2FSK 4FSK 2PSK 4PSK)
- 2021-04-23 18:48:47下载
- 积分:1
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blind_xiashan
时频分析工具箱,在信号检测中经常用到的,对大家有很好的帮助。(tools of time and frequency)
- 2010-05-18 00:54:04下载
- 积分:1
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matlab
基于natlab的遗传算法的源代码,可以用于遗传算法的优化仿真分析,在解决优化计算问题的时候非常重要。(a program of matlab for GA)
- 2012-04-21 21:20:32下载
- 积分:1
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turbo_demo
tuobo matlab仿真编程有很多一个,我一个一个发。很好用的,我用过了(tuobo matlab simulation program has a lot of one, I am fat, one by one. Good use, I used the)
- 2008-06-03 11:01:32下载
- 积分:1
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work-wrick
摄像机标定的matlab算法,用于快速标定摄相机。(camera calibration algorithm in Matlab, for rapid calibration camera.)
- 2007-06-05 11:50:03下载
- 积分:1
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matlab-classic-tinycases
matlab的经典案例,小程序,适用于初学matlab的同学(matlab classic cases for student who are learning matlab)
- 2012-08-02 22:40:05下载
- 积分:1
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ekf
ekf滤波器程序,用于导航方面的。用MATLAB写的。还行(ekf filter program, used for navigation. Written using MATLAB. Okay)
- 2011-10-21 09:47:09下载
- 积分:1
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20150918
将任意格式图片转换成24位的mif文件,应用于FPGA中的VGA显示,非常好用哦!!!(Any format images converted into 24 MIF files, used in VGA FPGA display, very good with oh!!!)
- 2016-06-03 09:38:00下载
- 积分:1
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LBisoLims
matlab for Lattice Boltzmann
- 2010-06-14 16:35:32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