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PolSynthesis_Images
极化雷达图像sigma0计算程序,给定极化雷达图像后,可以计算获得不同极化组合的雷达图像(Given a polarimetric image, the code synthesizes the radar image for any specified transmit and receive polarization combination.)
- 2016-03-16 11:15:57下载
- 积分:1
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data-collection-and-ansis
数据采集GUI与分析,可以读取与保存数据,用于串口控制(data collection and anlysis in GUI)
- 2011-11-22 16:23:38下载
- 积分:1
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NewThreeStepSearch
视频运动估计中快速块匹配方法 新三步搜索(The video motion estimation based on fast block matching New Three Step Search)
- 2012-11-04 16:56:26下载
- 积分:1
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gabor-feature
提取Gabor特征,用于提取图像的特征,采用matlab进行编码(extract Gabor feature)
- 2021-02-06 11:19:56下载
- 积分:1
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triang
To calculate PBG for triangle lattice
- 2011-10-05 11:30:36下载
- 积分:1
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Adaptive-Filtering-Primer-with-MATLAB---Poularika
this is a very good text for matlab begginers. and this book gives information about ADAPTIVE FILTERING with using MATLAB.
- 2013-03-12 13:32:12下载
- 积分:1
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cbir
基于内容的图像检索程序,matlab代码,SVM分类实现,检索效果好,对于研究基于内容检索的学习者用处很大(Content-based image retrieval procedures, matlab code, SVM classification to achieve good retrieval effect, for content-based retrieval research has proved very useful to learn)
- 2013-12-19 17:19:24下载
- 积分:1
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multiagent_formation_control
很好的多智能体系统纯方位编队控制的几种算法的仿真程序,方便大家学习这几种控制算法(Good multi-agent system of bearing formation control of several algorithm simulation program, convenient for everybody to learn that several kinds of control algorithm)
- 2015-08-18 16:17:08下载
- 积分:1
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matlab-OFDM
通信系统,基于MATLAB对OFDM进行仿真,结果有调制解调图,信噪比,眼图等等。(
Communications systems, based on OFDM MATLAB simulation results have modem map, SNR, eye and so on.)
- 2015-04-29 10:15:47下载
- 积分:1
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hsmm
说明: 隐马尔科夫模型是关于时序的概率模型,描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列,再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列,称为状态序列;每个状态生成一个观测,而由此产生的观测的随机序列,称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)
- 2019-05-27 12:01:38下载
- 积分:1