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FuzzyPID
说明： 里面有三个二维模糊调节器分别实现PID控制器的参数Kp，ki，Kd，的调节。其控制原理：根据前面的偏差e和偏差变化ec将三个模糊控制器FC1,FC2,FC3分别进行模糊化，模糊逻辑推理，解模糊化。最后得到pid控制器参数调节量。(There are three two-dimensional fuzzy controller to achieve PID controller parameters were Kp, ki, Kd, of the regulation. The control principle: According to the previous error e and error change ec the three fuzzy controller FC1, FC2, FC3 were fuzzy, fuzzy logic, defuzzification. Finally, adjust the controller parameters by pid.)
- 2010-04-28 23:53:42下载
- 积分：1
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kalman
kalman滤波，主要实现二维空间目标的状态估计 简单易懂 实用性强(kalman filter)
- 2013-03-26 21:47:51下载
- 积分：1
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matlab-logo
MATLAB进入时显示的图标的程序实现,有动画效果!(MATLAB to enter the show when the program icon, animation!)
- 2006-05-30 15:29:57下载
- 积分：1
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CSE504_Assignment_FT14_v3
Matlab programing for beginners suitable
- 2015-02-18 17:26:13下载
- 积分：1
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Denoising
it is a matlab software we have to plan to implement it
- 2009-12-14 18:45:57下载
- 积分：1
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Nakagami
A typical format for a DPPM signal
in a UWB system is derived that of a PPM signal.
The error probabilities of DPPM with receive diversity
over additive white Gaussian noise (AWGN) channels and
Nakagami fading channels are analyzed.
- 2014-12-10 02:42:25下载
- 积分：1
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bloodvesselfilter
可以实现血管增强滤波，首先运行初始化文件，然后运行主函数文件（论文参考：Three Dimensional Curvilinear Structure Detection Using Optimally Oriented Flux）(Vascular enhancement filtering can be achieved, first run the initialization file, and then run the main function file)
- 2013-12-13 15:55:55下载
- 积分：1
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Jacobian-factor
资料由弹流润滑领域的权威人物Bernard J. Hamrock编写(Information prepared by by EHL areas of authority figures Bernard J. Hamrock)
- 2020-06-28 23:20:02下载
- 积分：1
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HMM-based-valuation-model
给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)
- 2015-05-22 04:03:23下载
- 积分：1
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1
说明： 实现贝叶斯分类器,在matlab上的源代码(Bayesian classifier in matlab source code)
- 2013-05-21 19:19:58下载
- 积分：1
