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TestMatlab
说明: 在CC++中调用Matlab, 了解调用MATLAB接口(In CC++ Calling Matlab, learn to call MATLAB Interface)
- 2008-12-04 10:30:41下载
- 积分:1
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16QAM
包含仿真结果的16QAM系统的仿真报告,每一部分给予详细说明(Contains simulation results of 16QAM system simulation reports, each giving details)
- 2010-05-17 17:49:22下载
- 积分:1
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Channel-FLow
channel flow computation
- 2013-12-11 14:19:45下载
- 积分:1
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radar_signal_detection
雷达系统设计 恒虚警处理 MTI、MTD(radar system design)
- 2020-11-04 16:49:51下载
- 积分:1
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matlab-using-guide
介绍了matlab的通信工具箱的所有函数 以及如何使用 matlab通信工具箱(MATLAB communication toolbox functions and how to use Matlab communication toolbox)
- 2013-04-27 16:37:35下载
- 积分:1
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disfrft
此为分数阶傅立叶变换离散形式的计算程序,此种方法计算分数阶傅立叶变换程序简单,但应用有其局限性!(This is the discrete fractional Fourier transform calculation program, such fractional Fourier transform method procedure is simple, but the application has its limitations!)
- 2010-11-25 20:12:51下载
- 积分:1
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resistivity
说明: matlab语言编写的 大地电磁电阻率正演程序(matlab language MT resistivity forward procedure)
- 2011-04-03 14:01:00下载
- 积分:1
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matlabpicMRF
一个马尔可夫(MRF)图像分割MATLAB的源码,有30几个函数。Markov随机场的例子程序,对于初学入门MRF的人很有用,能得到直观的印象。(A Markov (MRF) image segmentation MATLAB source code, 30 a few functions. Markov random sample program, for beginners who are useful entry-MRF can get a visual impression.)
- 2011-04-19 11:38:33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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apodization
Fiber bragg grating apodization.
- 2015-02-08 20:24:16下载
- 积分:1