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100casesofmatlabutility
matlab应用程序一百个实例，大家可以下载，涉及很广。(100 matlab application examples, we can download, covering a very wide scope.)
- 2009-06-14 21:12:54下载
- 积分：1
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MatlabFAQ(2.0)
说明： matlab FAQ 介绍了matlab中常遇到的问题和解决方法(matlab FAQ )
- 2010-04-20 17:41:44下载
- 积分：1
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Untitled23
三次样条插值法,图像的块操作,图形的过滤操作(In the same coordinate, can draw three concentric circles, and coordinate control.)
- 2015-04-13 21:04:24下载
- 积分：1
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Motion-Detection
matlab video motion detection and tracking
- 2013-11-11 22:37:02下载
- 积分：1
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work
产生随机数，然后计算概率,一个非常实用的MATLAB程序(this brief program can generate some random numbers and calculate the probability)
- 2009-12-23 09:38:30下载
- 积分：1
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diff_besselj_root
matlab 中求besselj导数的根，可以根据需要，改变输入值得到不同的根
( seek besselj derivative of the root in matlab. you may change the input to found the different answer.)
- 2010-01-29 18:04:29下载
- 积分：1
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demosaic_su
Demosaicing Value Calculation
- 2013-08-03 09:13:16下载
- 积分：1
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blands-rule
一篇描述anti-cycling理论的文章，希望对大家有所帮助。。(bland s least index rule, an article on anti-cycling theory)
- 2012-05-10 10:22:39下载
- 积分：1
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dispatch
Finally, probability analysis, based on the chosen database, is performed and
judgment whether the person is recognized is pronounced. Two different modeling
techniques can be suggested for purposes of person identification or verification. The
approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of
Gaussian distribution is text-dependent one. For this technology a speaker is
described by a set of HMMs, constructing the set of speech groups spoken by that
person. The speech groups may be phonemes or words [7]. The text-independent
technology is rested upon Gaussian Mixture Speaker Models. For this technology
each speaker is defined by only one model describing all utterances of that person.
Identification in the range of both approaches is executed by evaluation of maximum
a posteriori probability [7].
- 2013-12-14 14:24:24下载
- 积分：1
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upf_demos
该程序包实现的是无味(Unscented)粒子滤波算法，与一般粒子滤波的不同处是：采用UKF近似粒子滤波的建议分布函数。(The package to achieve the tasteless (Unscented) particle filter, particle filter in general the differences are: use of UKF approximate particle filter proposal distribution function.)
- 2009-11-10 22:03:55下载
- 积分：1
