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GPS
功能描述见readme文档 包括GPS的捕获算法和数据(Function described in readme file including GPS algorithms and data capture)
- 2011-10-29 09:16:31下载
- 积分：1
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ACDC_matlab
逆变器电路的Matlab仿真源程序，初学者可以看看(Inverter circuit and Matlab simulation source, beginners can look)
- 2013-11-09 14:38:18下载
- 积分：1
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fengjiguangfu
风机光伏建模，能够很好的仿真风机或者光伏的随机出力的特性，应用simulink仿真(Fans photovoltaic modeling, simulation can be a good random fan or photovoltaic output characteristics, application simulink simulation)
- 2013-11-19 09:42:59下载
- 积分：1
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tsp
用蚁群原理编写的商旅路径的优化问题，可以自动绘制各种曲线图，以反应收敛的程度(With the ant colony principle to write business path optimization problem, can be automatically draw all kinds of graph, in order to response the degree of convergence
)
- 2012-10-02 11:52:03下载
- 积分：1
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Layout-optimization-based-on-GA
基于遗传算法的车间布局优化MATLAB源码(Workshop layout optimization based on genetic algorithm on MATLAB .doc)
- 2013-01-03 12:05:48下载
- 积分：1
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fd
说明： 有限差分法数值模拟弹性波动方程，使用matlab编写的。(Finite difference method numerical simulation of elastic wave equation, using matlab prepared.)
- 2011-07-13 15:13:13下载
- 积分：1
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human-testing
主要利用粒子滤波进行人体跟踪,能很好地进行人体跟踪(The main use of the particle filter for human body tracking, can be used for human body tracking)
- 2013-10-12 13:38:37下载
- 积分：1
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gaijingyichuansuanfa
程序对遗传算法进行了改进，取得了较好的效果(Application of genetic algorithm was improved, and achieved good results)
- 2014-11-06 15:37:24下载
- 积分：1
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AMhalftoning
matlab 调pin加网matlab 调幅加网matlab 调幅加网matlab 调幅加网(matlab matlabmatlab matlabmatlab matlabmatlab matlab)
- 2021-04-28 11:28:43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
