Published in
Proceedings of the 11th international conference on Information Processing in Sensor Networks - IPSN '12
2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)
DOI: 10.1109/ipsn.2012.6920976
Links
- ORCID
- ORCID
- Association for Computing Machinery (ACM)
- Institute of Electrical and Electronics Engineers
- [www.researchgate.net] | PDF
Tools
Distributed sparse approximation for frog sound classification
,
Chun Tung Chou ,
Wen Hu
Full text: Download
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.