SP Elsevier Journal : Special Issue on Robust Multi-Channel Signal Processing and Applications
11 Octobre 2018
Catégorie : Revues
Special Issue on Robust Multi-Channel Signal Processing and Applications: On the Occasion of the 80th Birthday of Johann F. Böhme
Multi-Channel Signal Processing has been the focus of tremendous theoretical advances and applications over the last nearly four decades, and continues to attract much attention by the signal processing community in both research and applications. Practical applications of multi-channel signal processing are found in many digital signal processing and communication systems for wireless communication, radar, sonar and biomedicine, just to mention a few. This special issue is to celebrate Professor Johann F. Böhme 80th birthday (26 January 2020). Johann was a pillar of multi-channel signal processing research worldwide who made fundamental contributions that paved the way and inspired many others to follow suit. His legacy as an academic advisor is most notable in generations of fine engineers and scientists that he produced. The special issue aims at attracting manuscripts on timely topics by signal processing practitioners. It will showcase recent research in digital signal processing for multi-channel signal processing with a focus on robustness. Robust statistical methods account for the fact that the postulated models for the data are fulfilled only approximately and not exactly. In contrast to classical multi-channel signal processing, robust methods are not affected much by small changes in the data, such as outliers or small model departures. They also provide near-optimal performance when the assumptions hold exactly. Prospective papers should be unpublished and present novel, fundamental research offering innovative contributions either from a methodological or an application point of view. Tutorial papers will also be considered.
Submission deadline: April 1, 2019
Acceptance deadline: November 1, 2019
Prospective authors should follow the standard author instructions for Signal Processing, and submit manuscripts online at http://ees.elsevier.com/sigpro/. The authors should select “VSI:Robust Signal Processing” when they reach the “Article Type” step in the submission process.
Prof. Abdelhak M. Zoubir (Technische Universität Darmstadt)
Prof. Marius Pesavento (Technische Universität Darmstadt)
Dr. Mohammed Nabil El Korso (Paris Nanterre University)
Prof. Hing Cheung So (City University of Hong Kong)
Prof. Xue Jiang (Shanghai Jiao Tong University)