Automated Design of Analog and High-frequency Circuits: A Computational Intelligence Approach (Studies in Computational Intelligence, 501, Band 501) - Hardcover

Buch 48 von 538: Studies in Computational Intelligence

Liu, Bo; Gielen, Georges; Fernández, Francisco V.

 
9783642391613: Automated Design of Analog and High-frequency Circuits: A Computational Intelligence Approach (Studies in Computational Intelligence, 501, Band 501)
Hardcover
ISBN 10: 3642391613 ISBN 13: 9783642391613
Verlag: Springer, 2013

Inhaltsangabe

Computational intelligence techniques are becoming more and more important for automated problem solving nowadays. Due to the growing complexity of industrial applications and the increasingly tight time-to-market requirements, the time available for thorough problem analysis and development of tailored solution methods is decreasing. There is no doubt that this trend will continue in the foreseeable future. Hence, it is not surprising that robust and general automated problem solving methods with satisfactory performance are needed.

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Über die Autorin bzw. den Autor

Yunqian Wen received the B.S. degree from Beihang University, China, in 2018. She received Ph.D. degree from the Department of Electronic Engineering, Shanghai Jiao Tong University, China, in 2023. She is currently an engineer at the Shanghai Aerospace Electronic and Communication Equipment Research Institute. Her research interests include image privacy, privacy protection, and computer vision. Bo Liu received his PhD. degree from the Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China in 2010. He is currently an Associate Professor at the University of Technology Sydney, Australia. His research interests include cybersecurity and privacy, location privacy and image privacy, privacy protection and machine learning, wireless communications and networks. He is an IEEE Senior Member and Associate Editor of IEEE Transactions on Broadcasting. Li Song received the B.E. and M.S. degrees in engineering and the Ph.D. degree in electrical engineering from Shanghai Jiao Tong University (SJTU) in 1997, 2000, and 2005, respectively. He joined SJTU as a Faculty Member and is currently a Full Professor with the Department of Electronic Engineering. He was also a Visiting Professor with Santa Clara University from 2011 to 2012. His research interests include video processing and multimedia systems. He was a recipient of the National Science and Technology Progress Award in 2015, the Okawa Foundation Research Grant in 2012, the Best Paper Award of the IEEE Circuits and Systems Society Visual Signal Processing and Technical Committee (IEEE CASS VSPCTC) in 2022, the Second Place Award from IEEE ICME-Twitch Grand Challenge in 2017, the Best 10% Paper Award from the IEEE VCIP in 2016, and the Best Paper Award from the International Conference on Wireless Communications and Signal Processing in 2010. He is an IEEE Senior Member and has been serving as an Associate Editor for Multidimensional Systems and Signal Processing from 2012 to 2018 and a Guest Editor for the IEEE Transactions on Broadcasting, special issue on quality of experience for advanced broadcast services in 2018. Jingyi Cao received the B.E. degree from Shanghai Jiao Tong University, China, in 2021, where she is currently pursuing the master's degree with the Department of Electronic Engineering. Her research interests include image privacy, computer vision, and machine learning. Rong Xie received the bachelor's and master's degrees in electrical engineering from Northeast Dianli University, Jilin, China, in 1996 and 1999, respectively, and the Ph.D. degree in electrical engineering from Zhejiang University in 2002. She joined Shanghai Jiao Tong University as an Assistant Professor in 2002, where she is currently an Associate Professor with the Department of Electronic Engineering. Her research interests are in the areas of video coding and image processing.

Von der hinteren Coverseite

Computational intelligence techniques are becoming more and more important for automated problem solving nowadays. Due to the growing complexity of industrial applications and the increasingly tight time-to-market requirements, the time available for thorough problem analysis and development of tailored solution methods is decreasing. There is no doubt that this trend will continue in the foreseeable future. Hence, it is not surprising that robust and general automated problem solving methods with satisfactory performance are needed.

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Verlag
Springer
Erscheinungsdatum
2013
Sprache
Englisch
ISBN 10 
3642391613
ISBN 13 
9783642391613
Einband
Gebundene Ausgabe
Anzahl der Seiten
248
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Vorgestellte Ausgabe

ISBN 10:  3642446450 ISBN 13:  9783642446450
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Softcover