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Filters
Excitation-Dependent Stepsize Control Of Adaptive Volterra Filters For Acoustic Echo Cancellation
2012
Zenodo
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Publication in the conference proceedings of EUSIPCO, Bucharest, Romania, 2012 ...
CONCLUSIONS In this work a novel nonlinear excitation-dependent step-size control for the adaptation of an adaptive second-order Volterra filter was proposed in order to enhance the convergence of the ...
In this work we focus on a new nonlinear echo cancellation procedure that relies on the application of adaptive Volterra filters while also taking the excitation level into account. ...
doi:10.5281/zenodo.52007
fatcat:sdbqx2owdveolofqsrpztqmkxy
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers
[article]
2021
arXiv
pre-print
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We demonstrate our general approach on an acoustic echo cancellation task (single-talk with noise) and show that we can learn high-performing adaptive filters for a variety of common linear and non-linear ...
Adaptive filtering algorithms are commonplace in signal processing and have wide-ranging applications from single-channel denoising to multi-channel acoustic echo cancellation and adaptive beamforming. ...
One of the most prevalent adaptive filtering applications is acoustic echo cancellation (AEC). In this case, an adaptive filter is used to remove echo within a telecommunication system. ...
arXiv:2110.04284v1
fatcat:wqtutynwsvfovkkdyoqikumdfy
Sparse Nonlinear MIMO Filtering and Identification
[chapter]
2013
Signals and Communication Technology
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control of nonlinear multivariable systems, and multivariable biological systems. ...
In other cases it appears as a pragmatic modelling approach that seeks to cope with the curse of dimensionality, particularly acute in nonlinear systems like Volterra type series. ...
Acknowledgements This research has been co-financed by the European Union (European Social Fund -ESF) and Greek national funds through the Operational Program "Education and Lifelong Learning" of the National ...
doi:10.1007/978-3-642-38398-4_7
fatcat:a7awuvl2prfvfkylo2za6cprz4
1998 International Conference on Mathematical Methods in Electromagnetic Theory - MMET '98
1998
MMET Conference Proceedings. 1998 International Conference on Mathematical Methods in Electromagnetic Theory. MMET 98 (Cat. No.98EX114)
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Public reporting burden for this collection of information is Minted to everoge I hour par response, including tha tima for reviewing ratnjction, searching existing data sources, gatharing and reviewing ...
Sand comments regarding this burden estimate or any other aspect of this colection of information, including suggestions for reducing this burden, to Wash Information Operation and Reports. 1215 Jefferson ...
This work was done with the help of Contract TH 606/96 of the National Science Foundation.
Acknowledgment The authors would like to express our gratitude to Prof. B. Bhat and Prof. S. K. ...
doi:10.1109/mmet.1998.709792
fatcat:7bqb6g7rdvfxxjo2kmhjqivb2u
Collaborative adaptive filtering for machine learning
2010
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Through the fusion of the outputs of adaptive filters a single collaborative hybrid filter is produced. ...
To produce online tests for sparsity, adaptive filters for sparse environments are investigated and a unifying framework for the derivation [...] ...
One field where algorithms for sparse systems have received much attention is in network echo cancellers, where the typical impulse response of the echo path is extremely sparse. ...
doi:10.25560/5598
fatcat:zlpsnayojzfulgomw65l2vnxui