Publication:
Combinations of adaptive filters

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URI: https://hdl.handle.net/10016/33959
ISSN: 1053-5888
DOI: https://doi.org/10.1109/MSP.2015.2481746
UXXI: AR/0000017580
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Combinations_SPM_206_ps.pdf (2.64 MB)
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2016-01
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IEEE
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Abstract
Adaptive filters are at the core of many signal processing applications, ranging from acoustic noise supression to echo cancelation [1], array beamforming [2], channel equalization [3], to more recent sensor network applications in surveillance, target localization, and tracking. A trending approach in this direction is to recur to in-network distributed processing in which individual nodes implement adaptation rules and diffuse their estimation to the network [4], [5].
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Acoustic echo cancellation, Convex combination, Blind equalization, Affine combination, Variable step, Transversal filters, Squares adaptation, Transient analysis, LMS algorithm, Identification
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Arenas-Garcia, J., Azpicueta-Ruiz, L. A., Silva, M. T., Nascimento, V. H. & Sayed, A. H. (2016). Combinations of Adaptive Filters: Performance and convergence properties. IEEE Signal Processing Magazine, 33(1), 120–140.
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