Faster than Nyquist Signaling: Algorithms to Silicon - Hardcover

Dasalukunte, Deepak; Öwall, Viktor; Rusek, Fredrik; Anderson, John B.

 
9783319070308: Faster than Nyquist Signaling: Algorithms to Silicon

Synopsis

This book addresses the challenges and design trade-offs arising during the hardware design of Faster-than-Nyquist (FTN) signaling transceivers. The authors describe how to design for coexistence between the FTN system described and Orthogonal frequency-division multiplexing (OFDM) systems, enabling readers to design FTN specific processing blocks as add-ons to the conventional transceiver chain.

• Provides a comprehensive introduction to Faster-than-Nyquist (FTN) signaling transceivers, covering both theory and hardware implementation;
• Enables readers to design systems that achieve bandwidth efficiency by making better use of the available spectrum resources;
• Describes design techniques to achieve 2x improvement in bandwidth usage with similar performance as that of an OFDM system.

"synopsis" may belong to another edition of this title.

From the Back Cover

This book addresses the challenges and design trade-offs arising during the hardware design of Faster-than-Nyquist (FTN) signaling transceivers. The authors describe how to design for coexistence between the FTN system described and Orthogonal frequency-division multiplexing (OFDM) systems, enabling readers to design FTN specific processing blocks as add-ons to the conventional transceiver chain.

• Provides a comprehensive introduction to Faster-than-Nyquist (FTN) signaling transceivers, covering both theory and hardware implementation;
• Enables readers to design systems that achieve bandwidth efficiency by making better use of the available spectrum resources;
• Describes design techniques to achieve 2x improvement in bandwidth usage with similar performance as that of an OFDM system.

"About this title" may belong to another edition of this title.

Other Popular Editions of the Same Title

9783319354606: Faster than Nyquist Signaling: Algorithms to Silicon

Featured Edition

ISBN 10:  3319354604 ISBN 13:  9783319354606
Publisher: Springer, 2016
Softcover