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

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書目名稱Underwater Acoustic Signal Processing影響因子(影響力)




書目名稱Underwater Acoustic Signal Processing影響因子(影響力)學(xué)科排名




書目名稱Underwater Acoustic Signal Processing網(wǎng)絡(luò)公開度




書目名稱Underwater Acoustic Signal Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Underwater Acoustic Signal Processing被引頻次




書目名稱Underwater Acoustic Signal Processing被引頻次學(xué)科排名




書目名稱Underwater Acoustic Signal Processing年度引用




書目名稱Underwater Acoustic Signal Processing年度引用學(xué)科排名




書目名稱Underwater Acoustic Signal Processing讀者反饋




書目名稱Underwater Acoustic Signal Processing讀者反饋學(xué)科排名

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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

Eclampsia

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

BORE

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

Eeg332

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

積習(xí)難改

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