Fourier-Bessel representation for signal processing: A review

PK Chaudhary, V Gupta, RB Pachori - Digital Signal Processing, 2023 - Elsevier
Several applications, analysis and visualization of signal demand representation of time-
domain signal in different domains like frequency-domain representation based on Fourier …

Enhanced multimodal emotion recognition in healthcare analytics: A deep learning based model-level fusion approach

MM Islam, S Nooruddin, F Karray… - … Signal Processing and …, 2024 - Elsevier
Deep learning techniques have drawn considerable interest in emotion recognition due to
recent technological developments in healthcare analytics. Automatic patient emotion …

A robust feature adaptation approach against variation of muscle contraction forces for myoelectric pattern recognition-based gesture characterization

F Kulwa, Y Li, OW Samuel, H Zhang… - … Signal Processing and …, 2024 - Elsevier
The lack of a robust scheme that can withstand the muscle contraction force variations
(MCFV) in pattern recognition (PR)-based myoelectric prosthesis is a major challenge that …

Identification of glottal instants using electroglottographic signal for vulnerable cases of voicing

T Mandal, KS Rao, SK Gupta - Healthcare Technology Letters, 2020 - Wiley Online Library
Robust detection of glottal instants is essential for various speech and biomedical
applications. Glottal closing and glottal opening are two crucial instants/epochs of a glottal …