DocumentCode :
1600641
Title :
Poster abstract: Distributed sparse approximation for frog sound classification
Author :
Bo Wei ; Mingrui Yang ; Rana, Rajib Kumar ; Chun Tung Chou ; Wen Hu
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW, Australia
fYear :
2012
Firstpage :
105
Lastpage :
106
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.
Keywords :
bioacoustics; biology computing; minimisation; signal classification; wireless sensor networks; ℓ1 minimization; distributed sparse approximation method; frog sound classification; satisfactory classification accuracy; wireless sensor networks; wireless sensor nodes; Accuracy; Approximation methods; Minimization; Signal to noise ratio; Training; Wireless communication; Wireless sensor networks; ℓ1minimization; sparse approximation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing in Sensor Networks (IPSN), 2012 ACM/IEEE 11th International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/IPSN.2012.6920976
Filename :
6920976
Link To Document :
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