Distributed sparse approximation for frog sound classification

  • Authors:
  • Bo Wei;Mingrui Yang;Rajib Kumar Rana;Chun Tung Chou;Wen Hu

  • Affiliations:
  • University of New South Wales, Sydney, & CSIRO ICT Centre, Brisbane, Australia;CSIRO ICT Centre Australia, Brisbane, Australia;CSIRO ICT Centre Australia, Brisbane, Australia;University of New South Wales, Sydney, Australia;CSIRO ICT Centre Australia, Brisbane, Australia

  • Venue:
  • Proceedings of the 11th international conference on Information Processing in Sensor Networks
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

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.