1.

Record Nr.

UNINA9910299567603321

Titolo

Communications, Signal Processing, and Systems : Proceedings of the 2016 International Conference on Communications, Signal Processing, and Systems / / edited by Qilian Liang, Jiasong Mu, Wei Wang, Baoju Zhang

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018

ISBN

981-10-3229-7

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (XXII, 1046 p. 497 illus.)

Collana

Lecture Notes in Electrical Engineering, , 1876-1100 ; ; 423

Disciplina

621.382

Soggetti

Electrical engineering

Electronic circuits

Signal processing

Image processing

Speech processing systems

Communications Engineering, Networks

Circuits and Systems

Signal, Image and Speech Processing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references at the end of each chapters.

Nota di contenuto

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 -- Neural Networks and Systems -- Fuzzy Logic Systems -- Nonlinear Systems for Communications and Signal Processing.

Sommario/riassunto

This book brings together papers presented at the 2016 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 to 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).