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1 Ergebnisse
1
Study on Magneto-Hydro-Dynamics Disturbance Signal Feature ..:
Nan YU
;
Jiarong LUO
http://www.sensorsportal.com/HTML/DIGEST/september_2014/Vol_178/P_2381.pdf. , 2014
Link:
https://doaj.org/article/16e5089b198f4896b0d5491fa214c..
RT Journal T1 <Title>Study on Magneto-Hydro-Dynamics Disturbance Signal Feature Classification Using Improved S-Transform Algorithm and Radial Basis Function Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:16e5089b198f4896b0d5491fa214ce30&Exemplar=1&LAN=DE A1 Nan YU A1 Jiarong LUO PB IFSA Publishing, S.L. YR 2014 K1 S-Transform algorithm K1 Magneto-hydro-dynamics (MHD) K1 Radial basis function neural network K1 Short time Fourier transform K1 Wavelet transform K1 Technology (General) K1 T1-995 JF http://www.sensorsportal.com/HTML/DIGEST/september_2014/Vol_178/P_2381.pdf LK http://dx.doi.org/https://doaj.org/article/16e5089b198f4896b0d5491fa214ce30 DO https://doaj.org/article/16e5089b198f4896b0d5491fa214ce30 SF ELIB - SuUB Bremen
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