Results 51 to 60 of about 1,828 (248)
Acoustic Echo Cancellation Embedded in Smart Transcoding Algorithm between 3GPP AMR-NB Modes
Journal of Electrical and Computer Engineering, 2010 Acoustic Echo Cancellation (AEC) is a necessary feature for mobile devices when the acoustic coupling between the microphone and the loudspeaker affects the communication quality and intelligibility.
Emmanuel Rossignol Thepie Fapi +3 more
doaj +1 more source
Convergence Performance Improvement of Affine Projection Adaptive Algorithm for Sparse Linear System Modeling with Correlated Input Signals [PDF]
مجله مدل سازی در مهندسی, 2019 One of the most important challenges for the adaptive filtering is the slow convergence rate of adaptive algorithm against highly correlated input signals.
mehdi bekrani
doaj +1 more source
Advanced Science, EarlyView.Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
Convex Combined Adaptive Filtering Algorithm for Acoustic Echo Cancellation in Hostile Environments
IEEE Access, 2018 Research into combined adaptive filters has been attracting considerable attention; the performance of which is generally superior to that of the individual component filters.
Ying-Ren Chien, Jin Li-You
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Acoustic Echo Cancellation In The Presence Of Distorting Loudspeakers
, 2002 Publication in the conference proceedings of EUSIPCO, Toulouse, France ...
UNCINI, Aurelio +2 more
openaire +4 more sources
ICASSP 2022 Acoustic Echo Cancellation Challenge
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 arXiv admin note: substantial text overlap with arXiv:2009 ...
Ross Cutler +7 more
openaire +2 more sources
, 2017 Linear acoustic path estimation for acoustic echo cancellation is difficult during periods where the near-end signal (speech) is active. In this paper, we assume that the impulse response is sparse.
Janský Jakub +3 more
core +1 more source
A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
Advanced Intelligent Discovery, EarlyView.We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source
IEEE Access, 2020 In this paper, we propose a channel sparsity aware sequential recursive least squares (sparse SEQ-RLS) algorithm for function expansion filters with applications in nonlinear echo cancellation.
Jean Jiang +2 more
doaj +1 more source
A Variable Step Size Normalized Least-Mean-Square Algorithm Based on Data Reuse
Algorithms, 2022 The principal issue in acoustic echo cancellation (AEC) is to estimate the impulse response between the loudspeaker and microphone of a hands-free communication device.
Alexandru-George Rusu +3 more
doaj +1 more source