Optimal Multidimensional Signal Processing in Wireless Sensor Networks

Anatoli Torokhti, Stan Miklavcic

Abstract

Wireless sensor networks involve a set of spatially distributed sensors and a fusion center. Three methods for finding models of the sensors and the fusion center are proposed.

References

  1. Friedland, S. and Torokhti, A. (2007). Generalized rankconstrained matrix approximations. SIAM J. Matrix Anal. Appl., 29:656659.
  2. Torokhti, A. and Friedland, S. (2009). Towards theory of generic principal component analysis. J. Multivariate Analysis, 100:661669.
  3. Vaseghi, S. V. (2007). Multimedia signal processing: theory and applications in speech, music and communications. John Wiley and Sons.
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Paper Citation


in Harvard Style

Torokhti A. and Miklavcic S. (2012). Optimal Multidimensional Signal Processing in Wireless Sensor Networks . In Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2012) ISBN 978-989-8565-25-9, pages 126-129. DOI: 10.5220/0004056101260129


in Bibtex Style

@conference{sigmap12,
author={Anatoli Torokhti and Stan Miklavcic},
title={Optimal Multidimensional Signal Processing in Wireless Sensor Networks},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2012)},
year={2012},
pages={126-129},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004056101260129},
isbn={978-989-8565-25-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2012)
TI - Optimal Multidimensional Signal Processing in Wireless Sensor Networks
SN - 978-989-8565-25-9
AU - Torokhti A.
AU - Miklavcic S.
PY - 2012
SP - 126
EP - 129
DO - 10.5220/0004056101260129