most citedCompressive Spectrum Sensing Using Sampling-Controlled Block Orthogonal Matching Pursuit

30 citations · 61 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2023

Joint Latency-Energy Minimization for Fog-Assisted Wireless IoT Networks

Farshad Shams, Vincenzo Lottici, Zhi Tian +1

This work aims to present a joint resource allocation method for a fog-assisted network wherein IoT wireless devices simultaneously offload their tasks to a serving fog node. The m…

eess.SP2023

Super-Resolution Harmonic Retrieval of Non-Circular Signals

Yu Zhang, Yue Wang, Zhi Tian +2

This paper proposes a super-resolution harmonic retrieval method for uncorrelated strictly non-circular signals, whose covariance and pseudo-covariance present Toeplitz and Hankel…

eess.SP2022★ 30 cited

Compressive Spectrum Sensing Using Sampling-Controlled Block Orthogonal Matching Pursuit

Liyang Lu, Wenbo Xu, Yue Wang +1

This paper proposes two novel schemes of wideband compressive spectrum sensing (CSS) via block orthogonal matching pursuit (BOMP) algorithm, for achieving high sensing accuracy in…

eess.SP2022★ 10 cited

Blind Orthogonal Least Squares based Compressive Spectrum Sensing

Liyang Lu, Wenbo Xu, Yue Wang +1

As an enabling technique of cognitive radio (CR), compressive spectrum sensing (CSS) based on compressive sensing (CS) can detect the spectrum opportunities from wide frequency ban…

eess.SP2022★ 21 cited

Recovery Conditions of Sparse Signals Using Orthogonal Least Squares-Type Algorithms

L. Lu, W. Xu, Y. Wang +1

Orthogonal least squares (OLS)-type algorithms are efficient in reconstructing sparse signals, which include the well-known OLS, multiple OLS (MOLS) and block OLS (BOLS). In this p…