[HTML][HTML] A comparison of regularization methods in forward and backward models for auditory attention decoding

DDE Wong, SA Fuglsang, J Hjortkjær… - Frontiers in …, 2018 - frontiersin.org
The decoding of selective auditory attention from noninvasive electroencephalogram (EEG)
data is of interest in brain computer interface and auditory perception research. The current …

Low-rank room impulse response estimation

M Jälmby, F Elvander… - IEEE/ACM Transactions …, 2023 - ieeexplore.ieee.org
In this paper we consider low-rank estimation of room impulse responses (RIRs). Inspired by
a physics-driven room-acoustical model, we propose an estimator of RIRs that promotes a …

Accurate modeling of brain responses to speech

DDE Wong, GM Di Liberto, A de Cheveigné - BioRxiv, 2018 - biorxiv.org
Perceptual processes can be probed by fitting stimulus-response models that relate
measured brain signals such as electroencephalography (EEG) to the stimuli that evoke …

Impulse response estimation of massive multi-input systems

AH Tan - IFAC Journal of Systems and Control, 2018 - Elsevier
Impulse response estimation of massive multi-input systems requires the development of
new approaches due to constraints imposed by conventional methods. Two key challenges …

Impact of regularization in fir estimation for short and long data records

A Marconato, J Schoukens - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
The estimation of the impulse response of a linear dynamic system is of crucial importance
in many measurement problems. When the task of collecting a large amount of …

Comparison of various correlation-based techniques for the estimation of impulse responses

AH Tan - 2016 6th International Conference on Intelligent and …, 2016 - ieeexplore.ieee.org
This paper provides a comparison between three correlation-based techniques, namely the
direct approximation, deconvolution and direct inversion methods, for the estimation of …