We developd a data-driven methodology based on matrix decomposition to build compact representation of long-term echosounder time series using intrinsic features in the data.
From basic foundational concepts to advanced topics in modeling the statistics of echoes from discrete scatterers, inspired by sonar observation of marine organisms.
Mid-frequency sonar provides a first-of-the-kind macroscopic observation of the nightly foraging runs of fish inhabiting a shallow-water artificial reef in northern Gulf of Mexico.