In this paper, adaptive step size selection based Bayesian compressive spectrum sensing (ABCS) is proposed to reduce the recovery times for alleviating the ...

Abstract—Bayesian Compressive Sensing (BCS), introduced in- to wideband cognitive radio network (CRN), has been considered as a promising technique for its ...

A Bayesian Compressive Sensing Using Adaptive Threshold (AT-BCS) is proposed, in which the iterative algorithm of RVM is improved for enhancing the accuracy ...

In [20] , accurate DOA classifiers with dual-polarization antenna are developed based on the support vector machine and Bayesian compressive spectrum sensing.

This paper aims to bridge the gap between the optimization and the Bayesian frameworks. Specifically, we leverage the similar two-step procedure mentioned above ...

Adaptive step size selection based Bayesian compressive spectrum sensing. X. Sun, R. Zhou, N. Zhang, und L. Gao. ISWCS, Seite 96-100. IEEE, (2017 ). 1. 1 ...

This paper presents a compressive sampling technique incorporated with feature learning to achieve highly effective and flexible spectrum sensing for hybrid ...

Oct 21, 2020 · The adaptive step size improves the convergence but compromises with the complexity. Combinatorial approach was efficient for noiseless ...

Mar 9, 2022 · An adaptive wideband sensing scheme is proposed under the standard Bayesian experimental design framework via three steps.

In this paper, we propose an approach based on Bayesian compressive sensing to speed up the process of sensing and to handle uncertainty.