S. Suppappola

Analysis and classification of time-varying signals with multiple time-frequency structures

Antonia Papandreou-Suppappola, Seth B. Suppappola, A. Papandreou-Suppappola, 2002, IEEE Signal Processing Letters.

Detection, classification, and estimation in the (t, f ) domain

Boualem Boashash, Gerald Matz, Ghasem Azemi, 2016 .

Nonlinear acoustic echo control using an accelerometer

Andreas Spanias, Tushar Gupta, Seth B. Suppappola, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Optimal step size control for acoustic echo cancellation

Khosrow Lashkari, Seth B. Suppappola, K. Lashkari, 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

Classification of Acoustic Emissions Using Modified Matching Pursuit

Antonia Papandreou-Suppappola, Seth B. Suppappola, Samuel P. Ebenezer, 2004, EURASIP J. Adv. Signal Process..

Detecting faults in structures using time-frequency techniques

Antonia Papandreou-Suppappola, Seth B. Suppappola, Samuel Pon Varma, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Gaussian pulse decomposition: An intuitive model of electrocardiogram waveforms

Ying Sun, Salvatore A. Chiaramida, Seth Suppappola, 1997, Annals of Biomedical Engineering.

Nonlinear transforms of ECG signals for digital QRS detection: a quantitative analysis

S. Suppappola, Ying Sun, S. Suppappola, 1994, IEEE Transactions on Biomedical Engineering.

Microcontroller-based real-time QRS detection.

Y Sun, S Suppappola, T A Wrublewski, 1992, Biomedical instrumentation & technology.