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fdct_wrapping_demo_denoise
用curvelet去除随机噪声。此为增强型的去除随机噪声。效果较好。(Remove the random noise using curvelet. This is the enhanced removal of random noise. Is better.)
- 2010-08-25 20:43:03下载
- 积分:1
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roberts
边缘检测算子 roberts算子 matlab源代码(roberts matlab)
- 2010-05-24 19:10:30下载
- 积分:1
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MATLAB
《MATLAB程序设计与应用》(刘卫国 著)-一书的课件(MATLAB)
- 2010-06-29 10:21:29下载
- 积分:1
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yLLEcode
高分辨率的图像重构经过稀释的表示的算法及其实现(Said high-resolution reconstruction of the diluted)
- 2010-11-06 16:16:48下载
- 积分:1
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Three_step_search_Algorithms_papers
Frame interpolation, frame rate up-conversion
(FRUC), motion estimation, motion-compensated frame interpolation
(MCFI), motion-compensated temporal frame interpolation
(MCTFI), predictive search, true-motion, video processing
- 2014-10-04 13:23:11下载
- 积分:1
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shanchen
运用shancen格子玻尔兹曼模型模拟两相分离,验证可行(Use shancen lattice Boltzmann model to simulate two-phase separation, verification feasible)
- 2013-12-27 15:48:53下载
- 积分:1
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zhifangtupipei
输入两幅图像进行直方图匹配,matlab程序(Enter the two image histogram matching, matlab program)
- 2013-12-11 10:46:23下载
- 积分:1
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nonlinear_c
非线性电容的matlab/simulink模型,实测可用!(Nonlinear capacitance matlab/simulink model, the measured available!)
- 2014-07-29 16:43:13下载
- 积分:1
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pf_robot_WIFI
该程序用粒子滤波的方法跟踪一个机器人并根据WiFi信号修改位置信息。(Tracking a robot with particle filter by correcting odometric measurements with WiFi signal
)
- 2009-05-04 10:21:35下载
- 积分:1
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EasyKrig_V3
克里金法广泛地应用于地下水模拟、土壤制图等领域,是一种很有用的地质统计格网化方法。它首先考虑的是空间属性在空间位置上的变异分布.确定对一个待插点值有影响的距离范围,然后用此范围内的采样点来估计待插点的属性值。该方法在数学上可对所研究的对象提供一种最佳线性无偏估计(某点处的确定值)的方法。它是考虑了信息样品的形状、大小及与待估计块段相互间的空间位置等几何特征以及品位的空间结构之后,为达到线性、无偏和最小估计方差的估计,而对每一个样品赋与一定的系数,最后 进行加权平均来估计块段品位的方法。(Kriging is a technique that provides the Best Linear Unbiased Estimator of the unknown fields (Journel and Huijbregts, 1978 Kitanidis, 1997). It is a local estimator that can provide the interpolation and extrapolation of the originally sparsely sampled data that are assumed to be reasonably characterized by the Intrinsic Statistical Model (ISM). An ISM does not require the quantity of interest to be stationary, i.e. its mean and standard deviation are independent of position, but rather that its covariance function depends on the separation of two data points)
- 2013-11-27 09:56:06下载
- 积分:1