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rastamat

于 2010-05-06 发布 文件大小:3KB
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  extract zero cross rate features from an audio signal

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    积分:1
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    2010-06-20 18:14:59下载
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    2009-03-26 20:19:42下载
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    2014-11-03 11:01:28下载
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    信噪比=20,迭代步长=0.035,本次程序设计还是验证了RLS比LMS收敛快的效果。(SNR = 20, iteration step = 0.035, this program is designed to verify the RLS faster than the LMS convergence effect.)
    2015-03-12 20:46:33下载
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    Power electronics plays an important role in controlling the grid-connected renewable energy sources. This paper presents a novel adaptive neuro-fuzzy control approach for the renewable interfacing inverter. The main objective is to achieve smooth bidirectional power flow and nonlinear unbalanced load compensation simultaneously, where the conventional proportional-integral controller may fail due to the rapid change in the dynamics of the highly nonlinear system. The combined capability of neuro-fuzzy controller in handling the uncertainties and learning from the processes is proved to be advantageous while controlling the inverter under fluctuating operating conditions. The inverter is actively controlled to compensate the harmonics, reactive power, and the current imbalance of a three-phase four-wire (3P4W) nonlinear load with generated renewable power injection into the grid simultaneously.
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