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lisa-vhdl2va
通过modelsim仿真检测matlab生成滤波器效果。(Generate the filter through matlab and simulated by modelsim.)
- 2013-12-12 11:17:18下载
- 积分：1
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modedb
Standard video mode definitions (taken XFree86).
- 2015-04-19 09:53:35下载
- 积分：1
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Litera_a
letter A draw using B-spline. implementation in matlab
- 2009-11-14 22:51:31下载
- 积分：1
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xiaolizi.zp
基于BP神经网络的数据分类 随机提取500个样本为训练样本，268个样本为预测样本(BP neural network-based classification of data extracted 500 random samples for training samples, 268 samples for prediction samples)
- 2012-10-14 16:17:08下载
- 积分：1
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platerec
自己使用matlab编写的一个车牌识别程序，识别率百分之90以上。(Own use matlab license plate recognition program written in a recognition rate above 90 .)
- 2015-04-02 18:26:02下载
- 积分：1
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Mie-scattering-Matlab
MATLAB函数的mie散射和吸收 MATLAB Functions for Mie Scattering and Absorption(MATLAB Functions for Mie Scattering and Absorption。A set of Mie functions has been developed in MATLAB to compute the four Mie
coefficients an, bn, cn and dn, efficiencies of extinction, scattering, backscattering
and absorption, the asymmetry parameter, and the two angular scattering functions S1 and S2.)
- 2014-02-22 15:07:10下载
- 积分：1
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sc
说明： MATLAB编写的图形色彩绘制程序，功能十分强大(Written in MATLAB graphics color drawing program, a very strong function)
- 2009-11-18 00:01:31下载
- 积分：1
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Beamformer
OFDM COMMUNINCATION FOR UNDERWATER
- 2011-05-28 19:49:51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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matlab_nidaqmx_example
example for national instruments devices
- 2009-05-24 20:11:10下载
- 积分：1
