The past, present and future of audio signal processing

Kahrs, Mark; Elko, Gary W.; Elliot, S.J.; Makino, Shoji; Kates, James M.; Bosi, Marina; Smith, Julius O.

doi:10.1109/msp.1997.1179708

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Recursive Least Squares1

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1999

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Cited by 14 publications

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“…The RLS algorithm features fast convergence and can achieve up to 40 dB of echo cancellation in practice [9]; it also converges well if the input is frequency deficient [11]. It has complexity of order N 2 however "fast" versions of the RLS aglorithm have been developed which can perform a single iteration in 8N operations, as opposed to 2N operations with the NLMS algorithm [11].…”

Section: Recursive Least Squaresmentioning

confidence: 99%

ECOOSE: an echo cancellation object oriented simulation environment

Braithwaite

Addie

2009

Proceedings of the Second International ICST Conference on Simulation Tools and Techniques

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This paper introduces an object oriented Matlab toolbox which is being developed for the testing and development of echo cancellation algorithms. The obvious objective of an echo cancellation simulation toolbox is to allow any simulated audio environment to be used with any echo cancellation method, and observed by any system for statistical observation and analysis. Such flexibility is hard to achieve. In this paper we explain the advantages of using an object oriented approach, as provided in Matlab 2008, for the design of this toolbox. The design is presented along with some initial results.

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Section: Recursive Least Squaresmentioning

confidence: 99%