A novel algorithm for frequency extraction of ABS signals by using DTDNNs
Mohammad Ali SHAFIEIAN, Hamed BANIZAMAN, Shahrzad SEDAGHAT
<span title="2019-05-15">2019</span>
<i title="The Scientific and Technological Research Council of Turkey">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ewkcv4t6w5f2pc7j2w426gox7a" style="color: black;">Turkish Journal of Electrical Engineering and Computer Sciences</a>
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In this paper, a novel method for frequency extraction is introduced in which one type of neural network, the distributed time-delay neural network (DTDNN), is used. ...
Simulation results show that the output of the neural network can acceptably follow frequency variations of ABS signals after convergence. ...
ABS signal processing with neural network There are various approaches to extracting the fundamental component of frequency from a noisy ABS signal [6, 10, 11, 14, 15] . ...
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