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Communications, Signal Processing, and Systems: Proceedings of the 11th International Conference on Communications, Signal Processing, and Systems, Vol. 3 2023 ed. [Kõva köide]

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  • Formaat: Hardback, 324 pages, kõrgus x laius: 235x155 mm, kaal: 664 g, 132 Illustrations, color; 40 Illustrations, black and white; VIII, 324 p. 172 illus., 132 illus. in color., 1 Hardback
  • Sari: Lecture Notes in Electrical Engineering 874
  • Ilmumisaeg: 02-May-2023
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9819923611
  • ISBN-13: 9789819923618
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Communications, Signal Processing, and Systems: Proceedings of the 11th International Conference on Communications, Signal Processing, and Systems, Vol. 3 2023 ed.Suurem pilt
  • Formaat: Hardback, 324 pages, kõrgus x laius: 235x155 mm, kaal: 664 g, 132 Illustrations, color; 40 Illustrations, black and white; VIII, 324 p. 172 illus., 132 illus. in color., 1 Hardback
  • Sari: Lecture Notes in Electrical Engineering 874
  • Ilmumisaeg: 02-May-2023
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9819923611
  • ISBN-13: 9789819923618
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789819923618.html
Märksõnad:

This book brings together papers presented at the 2022 International Conference on Communications, Signal Processing, and Systems, online, July 23-24, 2022, which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics ranging from communications, signal processing and systems, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD and DOE).


Wireless communications.- Wireless networks.- Internet of
Things.- Wireless sensor networks.- Signal processing for communications and
networking.- Audio and acoustic signal processing.- Bio imaging and signal
processing.- Machine learning for signal processing.- Sensor array and
multichannel signal processing.- Design and implementation of signal
processing systems.- Circuits and Systems for Communications.- Deep
Learning.- Fuzzy Logic Systems.- Nonlinear Systems for Communications and
Signal Processing.
Dr. Qilian Liang is a Distinguished University Professor in the Department of Electrical Engineering, University of Texas, at Arlington (UTA), USA, where he has been working since August 2002. Prior to this, he was a member of the technical staff at Hughes Network Systems Inc. in San Diego, California. Dr. Liang received his B.S. degree from Wuhan University, China, in 1993; his M.S. degree from Beijing University of Posts and Telecommunications, China, in 1996; and a Ph.D. degree from the University of Southern California (USC), Los Angeles, USA, in May 2000, all in Electrical Engineering. His research interests include communications, signal processing and fuzzy logic systems. Dr. Liang has published more than 330 journal and conference papers and 9 book chapters and has 6 US patents pending. He received 2002 IEEE Transactions on Fuzzy Systems Outstanding Paper Award; 2003 U.S. Office of Naval Research (ONR) Young Investigator Award; 2005 UTA College of Engineering Outstanding Young Faculty Award; 2007, 2009, 2010 U.S. Air Force Summer Faculty Fellowship Program Award; 2012 UTA College of Engineering Excellence in Research Award; 2013 UTA Outstanding Research Achievement or Creative Activity Award and was inducted into UTA Academy of Distinguished Scholars in 2015. He is an IEEE Fellow.