Jun 5, 2018 · Abstract:Compressive sampling has shown great potential for making wideband spectrum sensing possible at sub-Nyquist sampling rates.
Heterogeneous wideband spectrum is considered, where a weighted ίι —minimization sensing information recovery algorithm is proposed that achieves more ...
Jun 5, 2018 · Abstract—Compressive sampling has shown great potential for making wideband spectrum sensing possible at sub-Nyquist sam- pling rates.
Mar 14, 2017 · We propose a weighted 1−minimization sensing information recovery algorithm that achieves more stable recovery than that achieved by existing ...
Bibliographic details on Exploiting wideband spectrum occupancy heterogeneity for weighted compressive spectrum sensing.
Jul 20, 2017 · exploits this spectrum occupancy heterogeneity inherent to wideband spectrum to develop efficient compressive sensing techniques ...
This paper proposes a novel technique that exploits spectrum occupancy behaviors inherent to wideband spectrum access to enable efficient cooperative wideband ...
Compressive spectrum sensing for 5G cognitive radio networks - NCBI
www.ncbi.nlm.nih.gov › PMC9168607
Jun 1, 2022 · Exploiting wideband spectrum occupancy heterogeneity for weighted compressive spectrum sensing. [Google Scholar]. 41. Hastie T.J., Tibshirani ...
This paper explains and illustrates how compressive sampling has been leveraged to improve wideband spectrum sensing by enabling spectrum occupancy recovery ...
Jan 9, 2018 · In this paper, we consider heterogeneous wideband spectrum and exploit its inherent block-like structure to design efficient compressive ...