Editorial
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Editorial Gian Luca Foresti Department of Mathematics and Computer Science (DIMI), University of Udine, 33100 Udine, Italy Email: [email protected]
Giovanni Ramponi Department of Electrical, Electronic, and Computer Engineering (DEEI), University of Trieste, 34127 Trieste, Italy Email: [email protected]
Carlo Regazzoni Department of Biophysical and Electronic Engineering (DIBE), University of Genoa, 16145 Genoa, Italy Email: [email protected]
Giovanni L. Sicuranza Department of Electrical, Electronic, and Computer Engineering (DEEI), University of Trieste, 34127 Trieste, Italy Email: [email protected]
Gianni Vernazza Department of Biophysical and Electronic Engineering (DIBE), University of Genoa, 16145 Genoa, Italy Email: [email protected]
The interest in nonlinear methods in signal processing is steadily increasing, also thanks to the advances in computational capacities that make it possible to implement sophisticated nonlinear processing techniques which in turn allow remarkable improvements with respect to standard and wellconsolidated linear processing approaches. The vitality of the field is proved by the success of the Workshop on Nonlinear Signal and Image Processing (NSIP) organized every two years by the NSIP Board (http://poseidon.csd.auth.gr/NSIP) with the technical sponsorship of IEEE and EURASIP. The sixth NSIP Workshop was held in Grado, Italy, on June 2003. The main workshop topics were nonlinear theory and tools, nonlinear processing applications, and implementation of nonlinear systems. More than 100 papers selected from submissions received by researchers working in 24 countries were presented in oral and poster sessions. The participants in the workshop have been encouraged to expand their conference contributions into full papers for submission to this special issue of the EURASIP Journal on Applied Signal Processing. The answer to this solicitation has been enthusiastic and more than 60 papers have been received in response of the EURASIP JASP Call for Papers. In consideration of the high quality of the submitted manuscripts, the accepted papers have been subdivided in two Special Issues, the first
one including 17 papers while the second issue is presently in preparation. This first special issue features papers covering topics that include theoretical contributions as well as applicationoriented papers. The first paper deals with a topic of general theoretical interest, that is, least absolute deviation (LAD) regression. LAD is a relevant tool for various applications of sciences and engineering, mainly due to its intrinsic robustness. In their paper, Li and Arce show that the optimization needed to solve the LAD regression problem can be viewed as a sequence of maximum likelihood estimates of location on the sample set. The authors derive an iterative solution where the concept of maximum likelihood is applied jointly with coordinate transformations and weighted median operations. They also show that the proposed method is comparable with the best algorithms av
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