128 citations · 165 across the 7 of their papers we have counts for
7 papers
An Approach Towards Physics Informed Lung Ultrasound Image Scoring Neural Network for Diagnostic Assistance in COVID-19
Mahesh Raveendranatha Panicker, Yale Tung Chen, Gayathri M +4
Ultrasound is fast becoming an inevitable diagnostic tool for regular and continuous monitoring of the lung with the recent outbreak of COVID-19. In this work, a novel approach is…
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface
Ravikiran Mane, Effie Chew, Karen Chua +5
Lack of adequate training samples and noisy high-dimensional features are key challenges faced by Motor Imagery (MI) decoding algorithms for electroencephalogram (EEG) based Brain-…
Design and Implementation of Low Complexity Reconfigurable Filtered-OFDM based LDACS
N. Agrawal, A. Ambede, S. J. Darak +2
L-band Digital Aeronautical Communication System (LDACS) aims to exploit vacant spectrum in L-band via spectrum sharing, and orthogonal frequency division multiplexing (OFDM) is th…
Variable Cutoff Frequency FIR Filters: A Survey
Sumedh Dhabu, Abhishek Ambede, Smitha K. G. +2
Many signal processing applications require digital filters with variable frequency characteristics, especially the filters with variable bandwidth. Due to their linear phase and i…
An Efficient Data-aided Synchronization in L-DACS1 for Aeronautical Communications
Thinh H. Pham, A. P. Vinod, A. S. Madhukumar
L-band Digital Aeronautical Communication System type-1 (L-DACS1) is an emerging standard that aims at enhancing air traffic management (ATM) by transitioning the traditional analo…
A Low Complexity Spectrum Sensing Scheme for Estimating Frequency Band Edges in Multi-Standard Military Communication Receivers
S. J. Darak, A. P. Vinod, E. M-K. Lai
In a typical multi-standard military communication receiver, fast and reliable spectrum sensing unit is required to extract the information of multiple channels (frequency bands) p…