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Nonlinear Signal and Image Processing - A Special Issue in Honour of Giovanni L. Sicuranza on his Seventy-Fifth Birthday

This special issue publishes research and overview papers on Nonlinear Signal and Image Processing and serves two purposes. First, it provides a venue to present new research results in the area. The second goal of this special issue is to celebrate Professor Giovanni L. Sicuranza’s contributions in this field on his seventy-fifth birthday. Specifically, this issue aims to honour his pioneering research in this area, his achievements, and his dedication to the EURASIP community.

Edited by: Alberto Carini, Giovanni Ramponi and V. John Matthews

  1. Content type: Research

    This paper presents a methodology that aims at the incremental representation of areas inside environments in terms of attractive forces. It is proposed a parametric representation of velocity fields ruling th...

    Authors: Damian Campo, Alejandro Betancourt, Lucio Marcenaro and Carlo Regazzoni

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:13

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  2. Content type: Research

    Multi-beam sonar imaging has been widely used in various underwater tasks such as object recognition and object tracking. Problems remain, however, when the sonar images are characterized by low signal-to-nois...

    Authors: Haisen Li, Jue Gao, Weidong Du, Tian Zhou, Chao Xu and Baowei Chen

    Citation: EURASIP Journal on Advances in Signal Processing 2017 2017:7

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    The Erratum to this article has been published in EURASIP Journal on Advances in Signal Processing 2017 2017:34

  3. Content type: Research

    In this paper, we propose a new procedure to robustly determine the eyelid position in high-speed videokeratoscopic images. This knowledge is crucial in videokeratoscopy to study the effects of the eyelids on ...

    Authors: Tim Schäck, Michael Muma, Weaam Alkhaldi and Abdelhak M. Zoubir

    Citation: EURASIP Journal on Advances in Signal Processing 2016 2016:136

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  4. Content type: Research

    The use of Volterra filters in practical applications is often limited by their high computational burden. To cope with this problem, many strategies for implementing Volterra filters with reduced complexity h...

    Authors: Eduardo L. O. Batista and Rui Seara

    Citation: EURASIP Journal on Advances in Signal Processing 2016 2016:118

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  5. Content type: Research

    This article summarizes and extends the recently proposed concept of Significance-Aware (SA) filtering for nonlinear acoustic echo cancellation. The core idea of SA filtering is to decompose the estimation of ...

    Authors: Christian Hofmann, Christian Huemmer, Michael Guenther and Walter Kellermann

    Citation: EURASIP Journal on Advances in Signal Processing 2016 2016:113

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  6. Content type: Review

    Compressive sensing generally relies on the 2 norm for data fidelity, whereas in many applications, robust estimators are needed. Among the scenarios in which robust performance is requi...

    Authors: Rafael E. Carrillo, Ana B. Ramirez, Gonzalo R. Arce, Kenneth E. Barner and Brian M. Sadler

    Citation: EURASIP Journal on Advances in Signal Processing 2016 2016:108

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  7. Content type: Research

    This paper presents a model-selection strategy based on minimum description length (MDL) that keeps the kernel least-mean-square (KLMS) model tuned to the complexity of the input data. The proposed KLMS-MDL fi...

    Authors: Songlin Zhao, Badong Chen, Zheng Cao, Pingping Zhu and Jose C. Principe

    Citation: EURASIP Journal on Advances in Signal Processing 2016 2016:106

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  8. Content type: Research

    The standard median filter based on a symmetric moving window has only one tuning parameter: the window width. Despite this limitation, this filter has proven extremely useful and has motivated a number of ext...

    Authors: Ronald K. Pearson, Yrjö Neuvo, Jaakko Astola and Moncef Gabbouj

    Citation: EURASIP Journal on Advances in Signal Processing 2016 2016:87

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