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Editorial Emerging Signal Processing Techniques for Power Quality Applications ´ V. Ribeiro,1 Jacques Szczupak,2 M. Reza Iravani,3 Irene Y. H. Gu,4 P. K. Dash,5 and Moises Alexander V. Mamishev6 1 Department

of Electrical Circuit, Federal University of Juiz de Fora, CEP 36036-330 Juiz de Fora, Brazil of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, CEP 22453-900 Rio de Janeiro, Brazil 3 The Edward S. Rogers SR., Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada M5S 3G4 4 Department of Signals and Systems, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden 5 C. V. Raman, College of Engineering Bhubaneswar, Utkal University, Bhubaneswar 751024, Orissa, India 6 Department of Electrical Engineering, University of Washington, Seattle, WA 98195-2500, USA 2 Department

Received 27 June 2007; Accepted 27 June 2007 Copyright © 2007 Mois´es V. Ribeiro et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

The use of signal processing for power quality applications is not a new idea, as several researchers have used signal processing for more than a couple of decades. In the past few years, however, there has been a renewed interest in exploiting signal processing techniques for power quality measurements and analysis. The rationale for such enthusiasm is that signal processing techniques, indeed, provide meaningful and valuable information about voltage and current signals. As a result, a better understanding of time-varying, time-invariant, and transient behavior of power systems can be obtained. By looking into the development offered by signal processing techniques to the analysis of other well-known signals, such as speech and image, we speculate that we are just at the beginning of a challenge revolution in the power quality field. In fact, the use of signal processing techniques can impact the way that voltage and current signals are measured and analyzed in power system field. In the regards, we point out that power quality analysis is a new research area for the signal processing community as it requires the development of powerful and efficient methods dedicated to emerging power quality problems, for example, pattern classification, multiresolution analysis, statistical estimation, adaptive and nonlinear signal processing, and techniques that can be implemented on power quality (PQ) monitoring equipment.

To this end, two strategies for PQ analysis have been used for tracking long-term, short-term events and variations: (i) a centralized data processing approach, usually demanding large bandwidth for the data transmission and large computational power in the central processing facility, and (ii) a decentralized approach that requires powerful DSP (digital signal processor), FPGA (flexible programmable gate array) or ASIC (application-specific integrated circuit) chipse