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chapter9
说明: matlab与 人工神经网络2007 配套源程序(matlab and artificial neural network supporting source, 2007)
- 2008-11-21 10:39:00下载
- 积分:1
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QAM
QAM调制仿真程序,在AWGN和瑞利衰落信道下仿真,适用于初学者。(QAM modulation simulation program, in the AWGN and Rayleigh fading channel simulation, applicable to beginners.)
- 2009-01-06 20:32:07下载
- 积分:1
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EM-agorithm
em算法的代码,以及K-means算法代码(em algorithm code, and the K-means algorithm code)
- 2011-11-09 18:13:10下载
- 积分:1
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jpdf
joint pdf of two image
- 2014-01-16 19:59:05下载
- 积分:1
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soft_stator_simulink
异步电动机的软启动simulink仿真模型。(Soft-start induction motor simulink simulation soft-start model. )
- 2009-03-22 15:28:35下载
- 积分:1
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random_tour_node
Random Tour for TSP with Node Insertion MATLAB
- 2013-05-22 04:43:32下载
- 积分:1
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63931979MIMO_OFDM
在理想的信道状态条件下,对MIMO-OFDM系统进行仿真,包括信道估计,调制,解调,信道编解码等(In an ideal channel state conditions, the MIMO-OFDM system is simulated, including channel estimation, modulation, demodulation, channel coding and decoding)
- 2011-01-09 17:18:31下载
- 积分:1
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power_turbine
power_turbine.rar,功率电子领域matlab仿真文件,已经验证过,程序运行正常(power_turbine.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)
- 2013-08-26 22:19:32下载
- 积分:1
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active_HighPass
This is simulink file for Active High pass filter design
- 2010-12-21 19:08:21下载
- 积分:1
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ApplicationImproved--r-Algorithm
粒子滤波算法在非线性系统中得到了广泛的应用,其精度取决于目标概率函数和重要性函数是否相近,并且样本退化问题也影响了算法的性能。针对粒子滤波算法中样本退化的问题,本文提出一种基于奇异值分解的粒子滤波算法。该算法通过使用奇异值分解方法得到的重要性概率密度函数更接近于目标概率分布,降低样本退化的影响,提高了滤波器的精度,然后在列车组合定位系统的数学模型中应用该算法进行仿真实验。 (Particle filter algorithm for nonlinear systems is widely used, its accuracy depends on whether the target probability function and importance of the functions are similar, and sample degradation also affects the performance of the algorithm. For particle filter algorithm sample degradation problem, this paper proposes a particle filter algorithm based on singular value decomposition. The algorithm by using singular value decomposition of the importance of the probability density function method to get closer to the target probability distribution, reduce sample degradation, improve the accuracy of the filter, and then apply the algorithm in combination mathematical model train positioning system simulation experiments. The simulation )
- 2014-09-24 20:06:22下载
- 积分:1