Elements of Signal Detection and Estimation

Helstrom, Carl W.

ISBN 10: 013808940X / ISBN 13: 9780138089405

Published by Prentice Hall, 1994

About this Item

The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.

Seller Inventory # BSM.RNSG

Bibliographic Details

• Title: Elements of Signal Detection and Estimation
• Publisher: Prentice Hall
• Publication Date: 1994
• Language: English
• ISBN 10: 013808940X
• ISBN 13: 9780138089405
• Binding: Hardcover
• Condition: good

About this title

Synopsis

Written by a highly respected authority and researcher, this volume provides an introduction to signal-detection theory, a subject fundamental to the design of detectors of weak signals in the presence of random noise, and, in particular, to the design of optimal and near-optimal receivers of communication, radar, sonar and optical signals.

From the Publisher

Written by a highly-regarded authority and researcher, this volume provides an introduction to signal-detection theory (the detection of a signal and the estimation of its parameters)--a subject fundamental to the design of detectors of weak signals in the presence of random noise, and, in particular, to the design of optimal and near-optimal receivers of communication, radar, sonar, and optical signals. Applies signal-detection theory to a succession of problems of increasing complexity--beginning with the detection of known signals in Gaussian noise, then taking into account the designer's unavoidable ignorance of signal parameters such as phase, arrival time, and Doppler shift. Examines inter alia beamforming by transducer arrays, the structure of constant-false-alarm-rate (CFAR), nonparametric, and sequential receivers, the resolution of close signals, the detection of random signals at radio frequenies, and the detection of optical signals. Introduces topics such as matched filtering, signal space, time-series estimation, the method of maximum likelihood, and Kalman filtering in context.