Fluctuation-Enhanced Sensing With Zero-Crossing Analysis for High-Speed and Low-Power Applications

IEEE Sensors Journal

Volumn 10, Issue 3, 2010, Pages 492-497

  Gingl, Zoltan ^a   Kish, Laszlo B ^b   Ayhan, Bulent ^c   Kwan, Chiman ^c   Granqvist, Claes Göran ^d  

^a UNIVERSITY OF SZEGED   (Hungary)

^b TEXAS A AND M UNIVERSITY   (United States)

^c Signal Processing Inc   (United States)

^d UPPSALA UNIVERSITY   (Sweden)

Author keywords

Fluctuation enhanced sensing; high speed; low power; zero crossing

Indexed keywords

EID: 85008020228     PISSN: 1530437X     EISSN: 15581748     Source Type: Journal    
DOI: 10.1109/JSEN.2009.2037348     Document Type: Article

References (10)

1. C. Kwan, G. Schmera, J. Smulko, L. B. Kish, P. Heszler, and C. G. Granqvist, “Advanced agent identification at fluctuation-enhanced sensing,” IEEE Sensors J., vol. 8, no. 6, pp. 706–713, Jun. 2008, to be published.
2. L. B. Kish, R. Vajtai, and C. G. Granqvist, “Extracting information from the noise spectra of chemical sensors: Electronic nose and tongue by one sensor,” Sens. Actuators B, Chem., vol. 71, pp. 55–59, 2000.
3. B. Kedem, Time Series Analysis by Higher Order Crossings. New York: IEEE Press, 1994.
4. V. N. Vapnik, Statistical Learning Theory. New York: Wiley, 1998.
5. C. Burges, “A tutorial on support vector machines for pattern recognition,” in Data Mining and Knowledge Discovery. Boston, MA: Kluwer, 1998, vol. 2.
6. C. Cortes and V. Vapnik, “Support vector networks,” Mach. Learn., vol. 20, pp. 273–297, 1995.
7. B. Scholkopf, C. Burges, and V. Vapnik, U. M. Fayyad and R. Uthurusamy, Eds., “Extracting support data for a given task,” in Proceedings, First International Conference on Knowledge Discovery and Data Mining. Menlo Park, CA: AAAI Press, 1995.
8. V. Blanz, B. Scholkopf, H. Bulthoff, C. Burges, V. Vapnik, and T. Vetter, C. von der Malsburg, W. von Seelen, J. C. Vorbruggen, and B. Sendhoff, Eds., “Comparison of view-based object recognition algorithms using realistic 3d models,” in Proc. Artif. Neural Netw.-ICANN 1996, Berlin, Germany, vol. 1112, Springer Lecture Notes in Computer Science, pp. 251–256.
9. M. Schmidt, “Identifying speaker with support vector networks,” presented at the presented at the Interface 1996 Proc., Sydney, Australia, 1996.
10. E. Osuna, R. Freund, and F. Girosi, “Training support vector machines: An application to face detection,” in Proc. IEEE Conf. Comput. Vis. Pattern Recogn., 1997, pp. 130–136.