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Books > Computing & IT > Applications of computing > Signal processing

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Underwater Acoustic Signal Processing - Modeling, Detection, and Estimation (Hardcover, 1st ed. 2019) Loot Price: R6,346
Discovery Miles 63 460
Underwater Acoustic Signal Processing - Modeling, Detection, and Estimation (Hardcover, 1st ed. 2019): Douglas A. Abraham

Underwater Acoustic Signal Processing - Modeling, Detection, and Estimation (Hardcover, 1st ed. 2019)

Douglas A. Abraham

Series: Modern Acoustics and Signal Processing

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Loot Price R6,346 Discovery Miles 63 460 | Repayment Terms: R595 pm x 12*

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This book provides comprehensive coverage of the detection and processing of signals in underwater acoustics. Background material on active and passive sonar systems, underwater acoustics, and statistical signal processing makes the book a self-contained and valuable resource for graduate students, researchers, and active practitioners alike. Signal detection topics span a range of common signal types including signals of known form such as active sonar or communications signals; signals of unknown form, including passive sonar and narrowband signals; and transient signals such as marine mammal vocalizations. This text, along with its companion volume on beamforming, provides a thorough treatment of underwater acoustic signal processing that speaks to its author's broad experience in the field.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Modern Acoustics and Signal Processing
Release date: February 2019
First published: 2019
Authors: Douglas A. Abraham
Dimensions: 235 x 155 x 52mm (L x W x T)
Format: Hardcover
Pages: 834
Edition: 1st ed. 2019
ISBN-13: 978-3-319-92981-1
Categories: Books > Professional & Technical > Other technologies > General
Books > Computing & IT > Applications of computing > Signal processing
Books > Science & Mathematics > Physics > Applied physics & special topics > Geophysics
Books > Earth & environment > Earth sciences > The hydrosphere > Oceanography (seas)
LSN: 3-319-92981-X
Barcode: 9783319929811

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