Compressive sensing (CS) has received much attention in several fields such as digital image processing, wireless channel estimation, radar imaging, and cognitive radio (CR) …
A Shahmansoori, GE Garcia, G Destino… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Millimeter-wave (mm-wave) signals and large antenna arrays are considered enabling technologies for future 5G networks. While their benefits for achieving high-data rate …
C Li, W Yin, H Jiang, Y Zhang - Computational Optimization and …, 2013 - Springer
Based on the classic augmented Lagrangian multiplier method, we propose, analyze and test an algorithm for solving a class of equality-constrained non-smooth optimization …
Emerging communication network applications including fifth-generation (5G) cellular and the Internet-of-Things (IoT) will almost certainly require location information at as many …
In recent years, compressed sensing (CS) has attracted considerable attention in areas of applied mathematics, computer science, and electrical engineering by suggesting that it may …
R Chartrand, W Yin - 2008 IEEE international conference on …, 2008 - ieeexplore.ieee.org
The theory of compressive sensing has shown that sparse signals can be reconstructed exactly from many fewer measurements than traditionally believed necessary. In [1], it was …
R Otazo, D Kim, L Axel… - Magnetic resonance in …, 2010 - Wiley Online Library
First‐pass cardiac perfusion MRI is a natural candidate for compressed sensing acceleration since its representation in the combined temporal Fourier and spatial domain is sparse and …
In this thesis, I propose and study an efficient algorithm for solving a class of compressive sensing problems with total variation regularization. This research is motivated by the need …
J Li, H Zhang, L Zhang, L Ma - IEEE Journal of Selected Topics …, 2015 - ieeexplore.ieee.org
In this paper, we propose a hyperspectral image anomaly detection model by the use of background joint sparse representation (BJSR). With a practical binary hypothesis test …