Antonia Papandreou-Suppappola
Affiliations: | Electrical Engineering | Arizona State University, Tempe, AZ, United States |
Area:
Biomedical Engineering, Bioinformatics Biology, Molecular BiologyWebsite:
https://ecee.engineering.asu.edu/project/antonia-papandreou-suppappola/Google:
"Antonia Papandreou-Suppappola"Bio:
Antonia Papandreou-Suppappola, New classes of quadratic time-frequency representations with scale covariance and generalized time-shift covariance: Analysis, detection, and estimation
(1995). Dissertations and Master's Theses (Campus Access). Paper AAI9601862.
http://digitalcommons.uri.edu/dissertations/AAI9601862
Parents
Sign in to add mentor| Gloria Faye Boudreaux-Bartels | grad student | 1995 | University of Rhode Island | |
| (New classes of quadratic time-frequency representations with scale covariance and generalized time-shift covariance: Analysis, detection, and estimation.) | ||||
Children
Sign in to add trainee| Ye Jiang | grad student | 2005 | Arizona State |
| Sandeep P. Sira | grad student | 2007 | Arizona State |
| Bhavana Chakraborty | grad student | 2010 | Arizona State |
| Wenfen Zhou | grad student | 2010 | Arizona State |
| Debejyo Chakraborty | grad student | 2005-2010 | Arizona State |
| Shwetha R. Edla | grad student | 2012 | Arizona State |
| Daniel W. Huff | grad student | 2013 | Arizona State |
| Anna Malin | grad student | 2013 | Arizona State |
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Publications
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| Moraffah B, Papandreou-Suppappola A. (2022) Bayesian Nonparametric Modeling for Predicting Dynamic Dependencies in Multiple Object Tracking. Sensors (Basel, Switzerland). 22 |
| Northrop JA, Papandreou-Suppappola A. (2020) Computationally Efficient Estimation of Compound K-Distribution Sea Clutter in Thermal Noise and Its Application to Sea Echo Reflectivity Observations Ieee Transactions On Aerospace and Electronic Systems. 56: 2340-2350 |
| Zhou J, Papandreou-Suppappola A, Chakrabarti C. (2020) Parallel Gibbs Sampler for Wavelet-Based Bayesian Compressive Sensing with High Reconstruction Accuracy Journal of Signal Processing Systems. 92: 1101-1114 |
| Kota JS, Papandreou-Suppappola A. (2019) Joint Design of Transmit Waveforms for Object Tracking in Coexisting Multimodal Sensing Systems. Sensors (Basel, Switzerland). 19 |
| Chakraborty S, Banerjee A, Gupta SKS, et al. (2018) Time-Varying Modeling of Land Cover Change Dynamics Due to Forest Fires Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11: 1769-1776 |
| Ebenezer SP, Papandreou-Suppappola A. (2016) Generalized Recursive Track-Before-Detect with Proposal Partitioning for Tracking Varying Number of Multiple Targets in Low SNR Ieee Transactions On Signal Processing. 64: 2819-2834 |
| Zhou M, Zhang JJ, Papandreou-Suppappola A. (2016) Multiple Target Tracking in Urban Environments Ieee Transactions On Signal Processing. 64: 1270-1279 |
| Elmoslimany A, Zhou M, Duman TM, et al. (2016) An underwater acoustic communication scheme exploiting biological sounds Wireless Communications and Mobile Computing |
| Chakraborty D, Kovvali N, Papandreou-Suppappola A, et al. (2015) An adaptive learning damage estimation method for structural health monitoring Journal of Intelligent Material Systems and Structures. 26: 125-143 |
| Piwowarski R, O'Donnell B, Zhang JJ, et al. (2015) Waveform-agile track-before-detect for low observable targets 2012 International Waveform Diversity and Design Conference, Wdd 2012. 338-342 |