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xinhao
应用matlab应用平台信号采集程序设计与整理。(Application matlab application platform signal acquisition program design and finishing.)
- 2008-05-20 13:33:02下载
- 积分：1
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routh
建立routh阵列表的函数，建立胡尔维茨的函数，是判定系统稳定性的很好工具。(routh array of links to establish the function of the establishment of the H-Polynomial function, System stability is convicted of a good tool.)
- 2007-04-01 16:32:29下载
- 积分：1
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The-FDTD-Method---Computation-and-Analysis
fdtd program，using the matlab program ，very good
- 2012-05-28 17:15:36下载
- 积分：1
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DigitalDSsystemo
说明： A simple analytical model that predicts DSM spurious tones with arbitrary stimulus
- 2011-03-22 06:10:27下载
- 积分：1
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LP12
利用模式理论，对给定几何尺寸以及折射率分布的光纤进行模式求解与绘图，该程序给出LP12模的求解与绘图。(the LP01 mode of the fiber)
- 2013-09-24 21:22:26下载
- 积分：1
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texture-GLCM
经典的灰度共生矩阵纹理计算方法，基于matlab平台实现(The classic method of calculating GLCM texture, based on matlab platform)
- 2010-01-11 19:43:09下载
- 积分：1
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distribution
two case distribution-system mfile
- 2013-09-20 12:02:58下载
- 积分：1
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Fcm
FCM Data set clustering using fuzzy c-means clustering.
[CENTER, U, OBJ_FCN] = FCM(DATA, N_CLUSTER) finds N_CLUSTER number of
clusters in the data set DATA. DATA is size M-by-N, where M is the number of
data points and N is the number of coordinates for each data point. The
coordinates for each cluster center are returned in the rows of the matrix
CENTER. The membership function matrix U contains the grade of membership of
each DATA point in each cluster. The values 0 and 1 indicate no membership
and full membership respectively. Grades between 0 and 1 indicate that the
data point has partial membership in a cluster. At each iteration, an
objective function is minimized to find the best location for the clusters
and its values are returned in OBJ_FCN.
- 2013-04-21 07:30:57下载
- 积分：1
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theproblemMatlab
the problem Matlab.pdf 这是个对于初学者很有用的 希望大家都能学好matlab(the problem Matlab.pdf This is very useful for beginners I hope people will learn matlab)
- 2009-01-07 09:51:10下载
- 积分：1
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plane-rotation
Advanced correlation filter synthesis algorithms to achieve rotation invariance are described. We use a specified form for the filter as the rotation invariance constraint and derive a general closed-form solution for a multiclass rotation-invariant filter that can recognize a number of different objects. By requiring the filter to minimize the average correlation plane energy, we produce a multiclass rotation invariant (RI) RI-MACE filter, which controls correlation plane sidelobes and improves discrimination against false targets. To improve noise performance, we require the filter to minimize a weighted sum of correlation plane signal and noise energy. Initial test results of all filters are provided
- 2013-08-07 19:49:12下载
- 积分：1
