Year: 2026
Type: article
Abstract: 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.
Source: JASA Express Letters
DOI: 10.1121/10.0042199
Authors: Artorix de la Cruz, Mae L. Seto
Institution: Dalhousie University
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: diamond
Funder: Mitacs
OpenAlex ID: W7119528677