MMSFL-OWFB: A novel class of orthogonal wavelet filters for epileptic seizure detection
The optimal filters with minimal bandwidth are highly desirable in many applications such as
communication and biomedical signal processing. In this study, we design optimally …
communication and biomedical signal processing. In this study, we design optimally …
[HTML][HTML] A new approach to identify obstructive sleep apnea using an optimal orthogonal wavelet filter bank with ECG signals
M Sharma, M Raval, UR Acharya - Informatics in Medicine Unlocked, 2019 - Elsevier
Obstructive sleep apnea (OSA) is a severe sleep ailment. It manifests when a person's
breathing is interrupted while sleeping due to an inadequate supply of oxygen to the brain …
breathing is interrupted while sleeping due to an inadequate supply of oxygen to the brain …
[HTML][HTML] Automated heartbeat classification and detection of arrhythmia using optimal orthogonal wavelet filters
Electrocardiogram (ECG) is commonly used to analyze heartbeats. Arrhythmia is a
disturbance of the heartbeat that can potentially be lethal. Arrhythmia can be detected by …
disturbance of the heartbeat that can potentially be lethal. Arrhythmia can be detected by …
Automated detection of sleep stages using energy-localized orthogonal wavelet filter banks
M Sharma, S Patel, S Choudhary… - Arabian Journal for …, 2020 - Springer
Sleep is an integral part of human life which provides the body with much-needed rest which
facilitates recovery and promotes health. Sleep disorders, however, lead to a reduced …
facilitates recovery and promotes health. Sleep disorders, however, lead to a reduced …
Detection of shockable ventricular arrhythmia using optimal orthogonal wavelet filters
Sudden cardiac death (SCD) is caused by lethal arrhythmia. Ventricular fibrillation (VF) and
ventricular tachycardia (VT) are amenable to defibrillation or electrical shock therapy …
ventricular tachycardia (VT) are amenable to defibrillation or electrical shock therapy …
Design of time–frequency localized filter banks: transforming non-convex problem into convex via semidefinite relaxation technique
We present a method for designing optimal biorthogonal wavelet filter banks (FBs). Joint
time–frequency localization of the filters has been chosen as the optimality criterion. The …
time–frequency localization of the filters has been chosen as the optimality criterion. The …
Iterative technique for optimizing two-channel: Quadrature mirror, bi-orthogonal and graph filter bank
H Wang, C Zhao, Z Zhao, Y Huang - Signal Processing, 2020 - Elsevier
An iterative technique is proposed to optimally design the two-channel linear phase (LP) FIR
quadrature mirror filter bank (2c-LP-FIR-QMFB). In each iteration, first, the frequency-domain …
quadrature mirror filter bank (2c-LP-FIR-QMFB). In each iteration, first, the frequency-domain …
Signal design for context aware distributed radar sensing networks based on wavelets
H Nikookar - IEEE Journal of Selected Topics in Signal …, 2014 - ieeexplore.ieee.org
In the field of radar sensing, a paradigm shift is taking place from the traditional radar system
to distributed sensing/radar networks. Comparing with the single radar system distributed …
to distributed sensing/radar networks. Comparing with the single radar system distributed …
[PDF][PDF] Optimized paraunitary filter banks for time-frequency channel diagonalization
Z Ju, T Hunziker, D Dahlhaus - EURASIP journal on advances in signal …, 2010 - Springer
We adopt the concept of channel diagonalization to time-frequency signal expansions
obtained by DFT filter banks. As a generalization of the frequency domain channel …
obtained by DFT filter banks. As a generalization of the frequency domain channel …
Orthogonal wavelet filters with minimum RMS bandwidth
For a time-limited sequence, the Root-Mean-Square (RMS) bandwidth is the normalized
second moment of the spectrum. The RMS bandwidth is a useful and analytically tractable …
second moment of the spectrum. The RMS bandwidth is a useful and analytically tractable …