tailieunhanh - Báo cáo hóa học: " Editorial Adaptive Partial-Update and Sparse System Identification"

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: Editorial Adaptive Partial-Update and Sparse System Identification | Hindawi Publishing Corporation EURASIP Journal on Audio Speech and Music Processing Volume 2007 Article ID 12046 2 pages doi 2007 12046 Editorial Adaptive Partial-Update and Sparse System Identification Kutluyil Dogancay1 and Patrick A. Naylor2 1 School of Electrical and Information Engineering University of South Australia Mawson Lakes South Australia 5095 Australia 2 Department of Electrical and Electronic Engineering Imperial College London Exhibition Road London SW7 2AZ UK Received 1 March 2007 Accepted 1 March 2007 Copyright 2007 K. Dogancay and P. A. Naylor. 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. System identification is an important task in many application areas including for example telecommunications control engineering sensing and acoustics. It would be widely accepted that the science for identification of stationary and dynamic systems is mature. However several new applications have recently become of heightened interest for which system identification needs to be performed on high-order moving average systems that are either sparse in the time domain or need to be estimated using sparse computation due to complexity constraints. In this special issue we have brought together a collection of articles on recent work in this field giving specific consideration to a algorithms for identification of sparse systems and b algorithms that exploit sparseness in the coefficient update domain. The distinction between these two types of sparseness is important as we hope will become clear to the reader in the main body of the special issue. A driving force behind the development of algorithms for sparse system identification in telecommunications has been echo cancellation in packet switched telephone networks. The increasing popularity of packet-switched telephony has led to a need .