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@PF_Regular
粒子滤波的学习程序 简单介绍了粒子滤波的入门程序有学习价值(particle filter)
- 2012-05-09 15:09:15下载
- 积分：1
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Oscillatory-Motion-Tracking-With-x-IMU-master
Oscillatory IMU tool. Use to convert MEMS sensor to moviment, with drift corrected
- 2014-10-31 01:10:15下载
- 积分：1
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EXAMPLE
it is about matlab file for 1 story building
- 2009-03-22 01:34:58下载
- 积分：1
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reza-moradi-bahrebardari
economic load dispatch using ga
- 2013-08-12 19:40:15下载
- 积分：1
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bayesthresholding
it gives brief explanation about Bayesian threshloding
- 2013-10-24 00:02:58下载
- 积分：1
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time_frequency_analysis
一种合并频率的方法对时频分析及其有用所以才上传(a fast combination)
- 2013-12-04 10:13:24下载
- 积分：1
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Matlab6.5
说明： 数字信号处理教程——MATLAB释义与实现(very good)
- 2010-04-10 21:33:03下载
- 积分：1
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sim1
Simulink model for embedded matlab function
- 2012-03-28 08:17:16下载
- 积分：1
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MATLAB_programming_bar_code_generator_source
MATLAB程序设计条形码生成器源程序MATLAB programming bar code generator source(MATLAB programming bar code generator source MATLAB programming bar code generator source)
- 2010-08-03 20:28:41下载
- 积分：1
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otsu
OTSU Gray-level image segmentation using Otsu s method.
Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes
by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection
Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern.
9:62-66 1979). Thresholds are computed to maximize a separability
criterion of the resultant classes in gray levels.
OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the
corresponding Iseg is therefore a binary image. The pixel values for
Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ...
[Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability
criterion within the range [0 1]. Zero is obtained only with images
having less than n gray level, whereas one (optimal value) is obtained
only with n-valued images.
- 2009-03-17 17:57:51下载
- 积分：1
