Communications, Signal Processing, and Systems : 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 literario
| Wang, Wei, editor literario
| Liu, Xin, editor literario
| Na, Zhenyu, editor literario
| Li, Xiaoxia, editor literario
| Zhang, Baoju, editor literario
Material type:
E-bookSeries: (Lecture Notes in Electrical Engineering, 1876-1119 ; 654); (Engineering (SpringerNature-11647)); (Engineering (R0) (SpringerNature-43712)).Publisher: Singapore : Springer International Publishing, 2021Edition: First edition 2021.Description: 1 recurso en línea (XXVI, 2070 páginas) : 1192 ilustraciones, 879 ilustraciones a color.ISBN: 9789811584114.Subject: Sistemas de telecomunicación -- Congresos y asambleas
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TK5101.A1 2021 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.11012373 |
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.
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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