Signals, Systems and Inference

Oppenheim, Alan V., and Verghese, George C.

ISBN 10: 1292156201 / ISBN 13: 9781292156200

Editore: Pearson Education Limited, Harlow, 2016

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***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. 608 p. Audience: College/higher education.

Codice articolo K277A0001264

Dati bibliografici

• Titolo: Signals, Systems and Inference
• Editore: Pearson Education Limited, Harlow
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 1292156201
• ISBN 13: 9781292156200
• Rilegatura: Trade paperback
• Edizione: First edition. INTERNATIONAL EDITION
• Condizione: New in new dust jacket.

Descrizione articolo

Riassunto

For upper-level undergraduate courses in deterministic and stochastic signals and system engineering

An Integrative Approach to Signals, Systems and Inference

Signals, Systems and Inference is a comprehensive text that builds on introductory courses in time- and frequency-domain analysis of signals and systems, and in probability. Directed primarily to upper-level undergraduates and beginning graduate students in engineering and applied science branches, this new textbook pioneers a novel course of study. Instead of the usual leap from broad introductory subjects to highly specialised advanced subjects, this engaging and inclusive text creates a study track for a transitional course.

Properties and representations of deterministic signals and systems are reviewed and elaborated on, including group delay and the structure and behavior of state-space models. The text also introduces and interprets correlation functions and power spectral densities for describing and processing random signals. Application contexts include pulse amplitude modulation, observer-based feedback control, optimum linear filters for minimum mean-square-error estimation, and matched filtering for signal detection. Model-based approaches to inference are emphasised, in particular for state estimation, signal estimation, and signal detection.

Product Description

SIGNALS SYSTEMS AND INFERENCE by ALAN V. OPPENHEIM, GEORGE C. VERGHESE, 9781292156200