2026/01/01 by Artorix de la Cruz, Mae Seto · 1 voice
Environmental Science · Earth and Planetary Sciences · Engineering · #Marine animal studies overview #Underwater Acoustics Research #Underwater Vehicles and Communication Systems
paper · pdf · doi:10.1121/10.0042199
openalex publication_date 2026/01/01 · openalex created_date 2026/01/09 · openalex updated_date 2026/06/26
A Rényi spectral entropy is introduced for environment-adaptive detection of underwater acoustic signals in low signal-to-noise conditions. The Rényi order α is a control parameter; varying α enhances contrast between signals and background noise and improves detectability. The entropy variance as a function of α exhibits four regimes separated by crossover points, from which an optimal interval for signal selection is identified. This establishes α as a single tunable parameter to optimize detection performance. The approach is validated on passive recordings of North Atlantic right whale gunshots and outperforms a detector based on the Shannon spectral entropy.