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11/30/2022
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution
Generative models learned from training using deep learning methods can ...
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11/15/2022
CardiacGen: A Hierarchical Deep Generative Model for Cardiac Signals
We present CardiacGen, a Deep Learning framework for generating syntheti...
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08/27/2021
Bayesian Sparse Blind Deconvolution Using MCMC Methods Based on Normal-Inverse-Gamma Prior
Bayesian estimation methods for sparse blind deconvolution problems conv...
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06/22/2021
High Resolution Radar Sensing with Compressive Illumination
We present a compressive radar design that combines multitone linear fre...
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12/16/2020
Sparse Signal Models for Data Augmentation in Deep Learning ATR
Automatic Target Recognition (ATR) algorithms classify a given Synthetic...
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08/31/2015