tailieunhanh - Báo cáo hóa học: " Editorial Robust Processing of Nonstationary Signals"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: IEditorial Robust Processing of Nonstationary Signals | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 724746 3 pages doi 2010 724746 Editorial Robust Processing of Nonstationary Signals Igor Djurovic 1 Ljubisa Stankovic 1 Markus Rupp EURASIP Member 2 and Ling Shao3 1 Electrical Engineering Department University of Montenegro Cetinjski 81000 Podgorica Montenegro 2 Institute of Communications and Radio Engineering Vienna University of Technology Gusshausstrape 25 389 1040 Wien Austria 3Philips Research Laboratories 5656 AE Eindhoven The Netherlands Correspondence should be addressed to Igor Djurovic igordj@ Received 17 August 2010 Accepted 17 August 2010 Copyright 2010 Igor Djurovic 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. Techniques for processing signals corrupted by nonGaussian noise are referred to as the robust techniques. They have been established and used in science in the past 40 years. The principles of robust statistics have found fruitful applications in numerous signal-processing disciplines especially in digital image processing and signal processing for communications. Median myriad meridian L filters with their modifications and signal-adaptive realizations form a powerful toolbox for diverse applications. All of these filters have low-pass characteristic. This characteristic limits their application in analysis of diverse nonstationary signals where impulse heavy-tailed or other forms of the non-Gaussian noise can appear FM radar and speech signal processing and so forth. Recent research activities and studies have shown that combination of nonstationary signals and non-Gaussian noise can be observed in some novel emerging applications such as internet traffic monitoring and digital video coding. Several techniques have been recently proposed for handling .