1-Bit Compressed Sensing via an L1-TV Regularization Method
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3219850
Abstract: This paper considers the 1-bit compressed sensing (1-bit CS) of signals that are simultaneously sparse and gradient sparse. Since L1-norm and total variation (TV) penalties are beneficial for reconstructing element-sparse and gradient-sparse signals, respectively, we… read more here.
Keywords: bit compressed; bit; via regularization; sensing via ... See more keywords
Resolution Enhancement of Spatial Parametric Methods via Regularization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3120281
Abstract: The spatial spectral estimation problem has applications in a variety of fields, including radar, telecommunications, and biomedical engineering. Among the different approaches for estimating the spatial spectral pattern, there are several parametric methods, as the… read more here.
Keywords: parametric methods; via regularization; spatial parametric; regularization ... See more keywords