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dicom_read_volume
for the dcm file read.
- 2012-04-23 14:56:49下载
- 积分：1
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Analytic_Coarse_Alignment_methods
这是一个本人编写的一个接联惯性导航系统解析粗对准程序可观测性分析的一个程序。(This is the one I prepared received an Inertial Navigation System Analysis rough alignment procedures observability analysis of a trip sequence.)
- 2007-01-28 12:42:42下载
- 积分：1
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various-awgn-c
It contains matlab codes for spectrum sensing for various channel
- 2012-09-27 17:10:49下载
- 积分：1
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SysTimeConversion_project
When you use the Microsoft Automation functions VariantTimeToSystemTime to convert variant time to system time and the SystemTimeToVariantTime to convert system time to variant time, the milliseconds value appears as zero or is ignored
- 2007-10-16 09:34:37下载
- 积分：1
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MATLAB_linear_programming_algorithm_and_nonlinear_
MATLAB程序设计之线性算法和非线性源码比较MATLAB linear programming algorithm and nonlinear source comparison(MATLAB linear programming algorithm and nonlinear source more MATLAB linear programming algorithm and nonlinear source comparison)
- 2010-08-02 12:28:37下载
- 积分：1
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beatsdemo
it is for demo beutiful in the matlab
- 2009-10-04 21:11:20下载
- 积分：1
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LTE-phy_modeling-Macro-Femto
这是我们做的LTE 物理层系统仿真模型及宏蜂窝 微蜂窝的仿真Macro和Femto两方面功能(This is what we do LTE physical layer system simulation model and simulation Macro macrocell and microcell Femto two functions)
- 2014-04-05 11:02:28下载
- 积分：1
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Phase-Locked-Loop
charge pump phase-locked loop with digital phase-frequency detector(charge pump phase-locked loop with digital phase-frequency detector matalab model)
- 2013-02-19 09:45:28下载
- 积分：1
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icalab
日本riken脑科学研究中心开发的盲源分离工具包。适合MATLAB为7.5及以上版本，请尽量使用7.5版本 即2007版。(Japan riken brain research center to develop blind source separation kit. For MATLAB 7.5 or later, try to use 7.5 version that the 2007 version.)
- 2015-03-25 21:00:26下载
- 积分：1
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半监督分类算法
半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性，因此，半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)
- 2021-04-12 11:28:57下载
- 积分：1
