Verlag: Cambridge University Press (edition 1), 2008
ISBN 10: 0521879078 ISBN 13: 9780521879071
Sprache: Englisch
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Verlag: Cambridge University Press, 2008
ISBN 10: 0521879078 ISBN 13: 9780521879071
Sprache: Englisch
Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Verlag: Cambridge University Press, 2008
ISBN 10: 0521879078 ISBN 13: 9780521879071
Sprache: Englisch
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 99,45
Anzahl: 1 verfügbar
In den WarenkorbZustand: New. pp. 422 Illus.
EUR 173,97
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 407 pages. 9.75x7.00x1.00 inches. In Stock.
Verlag: Cambridge University Press, 2008
ISBN 10: 0521879078 ISBN 13: 9780521879071
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The renowned communications theorist Robert Gallager brings his lucid writing style to the study of the fundamental system aspects of digital communication for a one-semester course for graduate students. With the clarity and insight that have characterized his teaching and earlier textbooks, he develops a simple framework and then combines this with careful proofs to help the reader understand modern systems and simplified models in an intuitive yet precise way. A strong narrative and links between theory and practice reinforce this concise, practical presentation. The book begins with data compression for arbitrary sources. Gallager then describes how to modulate the resulting binary data for transmission over wires, cables, optical fibers, and wireless channels. Analysis and intuitive interpretations are developed for channel noise models, followed by coverage of the principles of detection, coding, and decoding. The various concepts covered are brought together in a description of wireless communication, using CDMA as a case study.