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Kalman-Filtering-Theory-and-Practice-Using-MATLAB
Kalman Filtering Theory and Practice Using MATLAB - Grewal and Andrews
- 2012-11-16 13:04:42下载
- 积分:1
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dtc
电机调速,用于直接转矩控制中的一个程序源码(motor for direct torque control of a process FOSS)
- 2006-06-03 16:19:21下载
- 积分:1
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PMSM_Controler
PMSM control By PWM signal
- 2013-10-21 03:19:09下载
- 积分:1
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chafen
分形维数计算,差分盒计数法,编译过,可以用(chafen)
- 2020-12-22 21:29:09下载
- 积分:1
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OFDMCDMA3chaytot
OFDM and CDMA combination for high speed transmission
- 2014-09-26 15:49:13下载
- 积分:1
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A
说明: movie lense的用户推荐数据,用于用户推荐系统的仿真与研究(movie lense user recommendation data, the user recommendation system for simulation and study)
- 2011-10-25 11:45:28下载
- 积分:1
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79ea21812c2a
to binirazition pictures in matlab
- 2012-10-10 18:45:16下载
- 积分:1
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connect2122_grid_flux_NEW10211
并网型双馈电机仿真,主要研究其有功,无功独立解耦控制策略(Grid DFIG simulation, its major research active and reactive power decoupled control strategy)
- 2016-10-08 10:10:14下载
- 积分:1
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MPSK_sim
this is the matlab code for phase shift keying
- 2010-02-26 14:13:03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