Communications, Signal Processing, and Systems [electronic resource] : Proceedings of the 9th International Conference on Communications, Signal Processing, and Systems / edited by Qilian Liang, Wei Wang, Xin Liu, Zhenyu Na, Xiaoxia Li, Baoju Zhang.
Contributor(s): Liang, Qilian [editor.] | Wang, Wei [editor.] | Liu, Xin [editor.] | Na, Zhenyu [editor.] | Li, Xiaoxia [editor.] | Zhang, Baoju [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Electrical Engineering: 654Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XXVI, 2070 p. 1192 illus., 879 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811584114.Subject(s): Telecommunication | Signal processing | Computer engineering | Computer networks | Communications Engineering, Networks | Digital and Analog Signal Processing | Computer Engineering and NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access onlineWireless 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.
This book brings together papers presented at the 2020 International Conference on Communications, Signal Processing, and Systems, 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).
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