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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, definitioEclampsia 发表于 2025-3-22 17:25:26
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 presentatiBORE 发表于 2025-3-22 21:36:39
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 signalsEeg332 发表于 2025-3-23 01:43:22
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积习难改 发表于 2025-3-23 08:47:11
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