Lightweight acoustic classification for cane-toad monitoring

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn , Issue , 2008, Pages 1601-1605

  Dang, Thanh ^a   Bulusu, Nirupama ^a   Hu, Wen ^b  

^a Portland State University   (United States)

^b CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC CLASSIFICATION; ACOUSTIC SENSORS; AMPHIBIAN SPECIES; AUSTRALIA; BEST MATCH; CENTRAL SERVERS; DATA MEMORY; ENERGY CONSUMPTION; IN-NETWORK; LIGHT WEIGHT; MISS-RATE; NON-NATIVE; NYQUIST RATE; ORIGINAL SIGNAL; RESOURCE-CONSTRAINED;

ACOUSTICS; COMPUTATIONAL COMPLEXITY; ELECTRIC LOAD FORECASTING; SENSORS;

SENSOR NETWORKS;

EID: 70349705475     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2008.5074693     Document Type: Conference Paper

References (5)

1. W. Hu, V. N. Tran, N. Bulusu, C. T. Chou, S. Jha, and A. Taylor,quot;The design and evaluation of a hybrid sensor network for cane-toad monitoring,"in IPSN '05: Proceedings of the 4th international symposium on Information processing in sensor networks. Piscataway, NJ, USA:IEEE Press,2005, p. 71.
2. C. M. Sadler and M. Martonosi, "Data compression algorithms for energy-constrained devices in delay tolerant networks,"in Proccedings of ACM Conference on Embedded Sensor Systems (Sensys), Boulder, Colorado, November November 2006, pp. 265-279.
3. E. Candes, J. K. Romberg, and T. Tao,"Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information,quot;IEEE Transactions on Information Theory, vol. 52, no. 2, pp. 489-509 February 2006.
4. F. Boyle, J. Haupt, G. Fudge, and R. Nowak, "Detecting signal structure from randomly-sampled data,"in Proceedings of IEEE Workshop on Statistical Signal Processing (SSP), Madison, Wisconsin, August 2007, pp. 326-330.
5. M. Davenport, M. Duarte, M. Wakin, J. Laska, D. Takhar, K. Kelly, and R. Baraniuk,"The smashed filter for compressive classification and target recognition," in Proceedings of Computational Imaging V at SPIE Electronic Imaging, San Jose, California, January 2007, pp. 326-330. 1605