Poster abstract: Distributed sparse approximation for frog sound classification

Abstract

Sparse approximation has now become a buzzword for classification in numerous research domains. We propose a distributed sparse approximation method based on ℓ1 minimization for frog sound classification, which is tailored to the resource constrained wireless sensor networks. Our pilot study demonstrates that ℓ1 minimization can run on wireless sensor nodes producing satisfactory classification accuracy.