Abstract
Sparse approximation has now become a buzzword for classification in numerous research domains. We propose a distributed sparse approximation method based on`1minimization for frog sound classification, which is tailored to the resource constrained wireless sensor networks. Our pilot study demonstrates that `1 minimization can run on wireless sensor nodes producing satisfactory classification accuracy
| Original language | English |
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| Pages | 105-106 |
| Publication status | Published - Apr 2012 |
| Event | 11th International Conference on Information Processing in Sensor Networks - Beijing, China Duration: 16 Apr 2012 → 20 Apr 2012 |
Conference
| Conference | 11th International Conference on Information Processing in Sensor Networks |
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| Abbreviated title | IPSN '12 |
| Country/Territory | China |
| City | Beijing |
| Period | 16/04/12 → 20/04/12 |