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Titlebook: Underwater Acoustic Signal Processing; Modeling, Detection, Douglas A. Abraham Book 2019 Springer Nature Switzerland AG 2019 Active Sonar.B

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发表于 2025-3-21 17:58:23 | 显示全部楼层 |阅读模式
书目名称Underwater Acoustic Signal Processing
副标题Modeling, Detection,
编辑Douglas A. Abraham
视频video
概述Offers a balanced presentation of the theory and application of signal detection in underwater acoustics.Addresses a broad audience of practicing sonar engineers, students, and researchers in underwat
丛书名称Modern Acoustics and Signal Processing
图书封面Titlebook: Underwater Acoustic Signal Processing; Modeling, Detection, Douglas A. Abraham Book 2019 Springer Nature Switzerland AG 2019 Active Sonar.B
描述.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..
出版日期Book 2019
关键词Active Sonar; Broadband Random Signals; Marine Mammal Vocalizations Signal Processing; Narrowband Rando
版次1
doihttps://doi.org/10.1007/978-3-319-92983-5
isbn_ebook978-3-319-92983-5Series ISSN 2364-4915 Series E-ISSN 2364-4923
issn_series 2364-4915
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Mathematical Statisticsire a statistical characterization of the data prior to development. This section covers some basic statistical concepts enabling the derivation of algorithms in statistical signal processing. The topics covered include probability, random variables, and random processes. The construction, definitio
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Statistical Signal Processingsignal processing and have numerous applications in underwater acoustics. The advantage of characterizing an application as a detection or estimation problem lies in the wealth of solutions that can be found in the statistics literature, along with the associated performance measures. The presentati
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Underwater Acoustic Signal and Noise Modelingtion to observation, and knowledge of structure. Recalling the remote-sensing application, the impact of propagation through an underwater acoustic channel on source-signal characterization is described in terms of its effect on signal amplitude and phase. Various representations of bandpass signals
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Detecting Signals with Known Form: Matched Filters example of signals with known form is from active remote sensing where a known source signal is projected into the underwater environment and the sounds measured by a sensor are then analyzed to achieve one of the inferential objectives. Matched-filter detectors (also known as replica correlators o
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Detecting Signals with Unknown Form: Energy Detectors inherently random (e.g., radiated ship noise) or because of insufficient a priori knowledge about the sound source (e.g., marine mammal acoustic emissions). Energy detectors are derived and analyzed for such signals under varying levels of knowledge about the power spectral density (PSD) shape, str
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