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antongdao
说明: 应用了一种简单但有效的图像先验规律即暗原色先验规律,来为单幅图像去雾。(Application of a simple but effective rules that dark color image prior law prior to the single image to the fog.)
- 2011-04-14 12:16:37下载
- 积分:1
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convex_hull
CONVEX_HULL is a MATLAB library which reads a file containing the coordinates of a set of points in 2D, computes the convex hull of the points, and displays it.
- 2013-02-09 06:08:16下载
- 积分:1
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GWO
说明: 狼群算法基础原始程序,内含对应的2014年狼群算法原始论文(The basic original program of Wolf pack algorithm, including the corresponding original paper of 2014 Wolf pack algorithm)
- 2020-10-19 20:24:39下载
- 积分:1
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image-fusion-pos
image fusion using particle of swarm optimastion
- 2013-09-29 15:46:10下载
- 积分:1
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tulunjigou
设计凸轮,对于偏心直动凸轮,可作出理论轮廓线和实际轮廓线(Design of the cam, the eccentric cam may be made to the theoretical contour and the actual contour)
- 2013-04-17 23:30:45下载
- 积分:1
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matlabStatistical-Functions
matlab统计函数介绍ppt-包括统计中的基本函数(statistical functions matlab ppt-presentation of the basic functions, including statistical)
- 2013-11-03 18:27:10下载
- 积分:1
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PPPcode
精密单点定位的程序,是对初学者的很好的资料,很容易入手(Precise point positioning procedure ,is good information for beginners, it is easy to start)
- 2013-11-10 10:26:56下载
- 积分:1
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Power-spectrum-estimation
功率谱估计
信号为两个正弦信号加高斯白噪声,各正弦信号的信噪比均为10dB,长度为N,信号频率分别为 和 ,初始相位 ,取 , 取不同数值:0.3,0.25。 为采样频率。分别用Levinson递推法和Burg法进行功率谱估计,并分析改变数据长度、模型阶数对谱估计结果的影响。(Power spectrum estimation signal into two sinusoidal signals applied Gaussian white noise, the SNR of each sinusoidal signal are 10dB, a length of N, respectively, and the signal frequency, initial phase, take, take different values: 0.3,0.25. Is the sampling frequency. Levinson recursive method were used and Burg method for power spectrum estimation, and change the length of the data analysis, the impact on the estimation model order spectrum.)
- 2015-03-23 10:48:42下载
- 积分:1
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cell-1
光伏太阳电池的仿真,基本的数学公式与基本知识(PV solar cell simulink)
- 2010-03-09 22:50:45下载
- 积分:1
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Ellips
matlab程序:用最小二乘法拟合椭球曲面(matlab program: using least-squares fitting ellipsoid surface)
- 2013-12-25 15:30:32下载
- 积分:1