Editorial
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INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING Int. J. Adapt. Control Signal Process. 2000; 14:563 } 564 EDITORIAL Welcome to the special issue on active noise and echo cancellation. In recent years there has been considerable interest in both academia and industry in adaptive algorithms for active noise control (ANC) and the related problem of acoustic echo cancellation (AEC). Adaptive ANC applications now cover a wide range of applications in, for example, air- conditioning ducts, or noise-quietening headsets and free"eld ANC systems for the interior of aircrafts. Similarly, acoustic echo concellation research and development is being driven by commercially attractive products such as hands-free telephony for the current generation of multimedia systems and solutions for third-generation mobile communication systems due for depolyment in 2001. This product development is enabled by the advances in adaptive digital signal processing algorithms and the availability of fast DSP processors. However, there are still many research and development issues under investigation and in this special issue we aim to present a state-of-the-art resume of some of the e!orts within the adaptive signal processing community In acoustic echo cancellation systems, trends are moving to stereophonic solutions to provide better quality and orientation for teleconferencing participants. The general problems and current research issues for stereophonic AEC are discussed in a review paper by Ga K nsler and Benesty. On the algorithmic side, four papers in the issue address the requirement for providing good adaptation behaviour at low complexity. A frequency-domain implementation of the LMS is analysed by Estermann, Kaelin, and Lindgren, with a partitioning of the "lter impulse response to achieve low complexity with a reasonable increase in the system delay. The paper by Hoya, Forsyth, Chambers, and Naylor targets the stereophonic AEC case with a low-cost implementa- tion of a derivative of the normalized LMS algorithm. Sankaran and Beex introduce a fast generalized version of the a$ne projection algorithm, which is popularly applied in AEC scenarios, but could potentially also be applied to ANC problems. The adaptive "lter perspective addressed concludes with an interesting alternative implementation of a number of ANC adaptive "ltering algorithms by Nelson, Douglas, and Bodson, whereby a reduction of computa- tional complexity is gained. Finally, in their paper Rabenstein and Zayati present a new way of simulating acoustics, which o!ers great potential to realistically test ANC/AEC scenarios. (A companion paper with practical examples will appear later in JACSP as a supplement of this special issue, together with two further papers that do not appear in this issue due to space limitations). These papers presented re#ect current trends in the "eld and the state of the art in AEC and ANC. We therefore hope, that it will serve as an overview for researchers and a resource for industrialists for possible future applications and improvements in this area. We are also very grateful to the many people who have assisted in this issue by contributing their expertise in the review process. We would particularly like to mention Prof. Walter Kellermann, Prof. AA (Louis) Beex, Dr Sankaran, Dr Tomas Gaensler, Prof. Piet Sommen, Copyright ( 2000 John Wiley & Sons, Ltd.
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INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSINGInt. J. Adapt. Control Signal Process. 2000; 14:563}564
EDITORIAL
Welcome to the special issue on active noise and echo cancellation. In recent years therehas been considerable interest in both academia and industry in adaptive algorithms foractive noise control (ANC) and the related problem of acoustic echo cancellation (AEC).Adaptive ANC applications now cover a wide range of applications in, for example, air-conditioning ducts, or noise-quietening headsets and free"eld ANC systems for the interior ofaircrafts. Similarly, acoustic echo concellation research and development is being driven bycommercially attractive products such as hands-free telephony for the current generation ofmultimedia systems and solutions for third-generation mobile communication systems due fordepolyment in 2001. This product development is enabled by the advances in adaptive digitalsignal processing algorithms and the availability of fast DSP processors. However, there are stillmany research and development issues under investigation and in this special issue we aim topresent a state-of-the-art resume of some of the e!orts within the adaptive signal processingcommunity
In acoustic echo cancellation systems, trends are moving to stereophonic solutions to providebetter quality and orientation for teleconferencing participants. The general problems andcurrent research issues for stereophonic AEC are discussed in a review paper by GaK nsler andBenesty. On the algorithmic side, four papers in the issue address the requirement for providinggood adaptation behaviour at low complexity. A frequency-domain implementation of the LMSis analysed by Estermann, Kaelin, and Lindgren, with a partitioning of the "lter impulse responseto achieve low complexity with a reasonable increase in the system delay. The paper by Hoya,Forsyth, Chambers, and Naylor targets the stereophonic AEC case with a low-cost implementa-tion of a derivative of the normalized LMS algorithm. Sankaran and Beex introduce a fastgeneralized version of the a$ne projection algorithm, which is popularly applied in AECscenarios, but could potentially also be applied to ANC problems. The adaptive "lter perspectiveaddressed concludes with an interesting alternative implementation of a number of ANCadaptive "ltering algorithms by Nelson, Douglas, and Bodson, whereby a reduction of computa-tional complexity is gained. Finally, in their paper Rabenstein and Zayati present a new way ofsimulating acoustics, which o!ers great potential to realistically test ANC/AEC scenarios.(A companion paper with practical examples will appear later in JACSP as a supplement of thisspecial issue, together with two further papers that do not appear in this issue due to spacelimitations).
These papers presented re#ect current trends in the "eld and the state of the art in AEC andANC. We therefore hope, that it will serve as an overview for researchers and a resource forindustrialists for possible future applications and improvements in this area.
We are also very grateful to the many people who have assisted in this issue by contributingtheir expertise in the review process. We would particularly like to mention Prof. WalterKellermann, Prof. AA (Louis) Beex, Dr Sankaran, Dr Tomas Gaensler, Prof. Piet Sommen,
Copyright ( 2000 John Wiley & Sons, Ltd.
Dr Cameron Spiers, Prof. Michael A. Ho!man, Dr Pius Estermann, Dr Rudolf Rabenstein, Prof.Scott C. Douglas, and Prof. Selwyn Wright.
Guest Editors:Dr Bob Stewart
Department of Electronic and Electrical Engineering;niversity of Strathclyde
Glasgow G1 1XW, U.K.
Dr Stephan WeissDepartment of Electronics and Computer Science
;niversity of SouthamptonSouthampton SO17 1BJ, U.K.
564 EDITORIAL
Int. J. Adapt. Control Signal Process. 2000; 14:563}564Copyright ( 2000 John Wiley & Sons, Ltd.
