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09/28/2022
Learning Filter-Based Compressed Blind-Deconvolution
The problem of sparse multichannel blind deconvolution (S-MBD) arises fr...
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10/05/2021
Time-Based Quantization for FRI and Bandlimited signals
We consider the problem of quantizing samples of finite-rate-of-innovati...
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06/10/2021
FRI-TEM: Time Encoding Sampling of Finite-Rate-of-Innovation Signals
Classical sampling is based on acquiring signal amplitudes at specific p...
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10/22/2020
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution
We propose a learned-structured unfolding neural network for the problem...
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04/12/2020
RaSSteR: Random Sparse Step-Frequency Radar
We propose a method for synthesizing high range resolution profiles (HRR...
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01/02/2020