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Numerical evaluation on sub-Nyquist spectrum reconstruction methods

Frontiers of Computer Science 2023年第6期17卷 199-201页

作者： Zihang SONG Han ZHANG Sean FULLER Andrew LAMBERT Zhinong YING Petri MAHONEN yonina eldar Shuguang CUI Mark DPLUMBLEY Clive PARINI Arumugam NALLANATHAN Yue GAO Department of Engineering King’s College LondonStrandLondon WC2R 2LSUK School of Computer Science and Electronic Engineering University of SurreyGuildfordSurrey GU27XHUK National Instruments Corporation(UK)Ltd. NewburyBerkshire RG142PZUK Electronic Media Services Ltd. BordonHampshire GU350FJUK Sony Research Center Sony CorporationLund 22188Sweden Institute for Networked Systems RWTH Aachen UniversityKackertstrasseAachen 52072Germany Faculty of Math&CS Weizmann Institute of ScienceRehovot 7610001Israel School of Science and Engineering The Chinese University of Hong KongShenzhen 518172China School of Electronic Engineering and Computer Science Queen Mary University of LondonLondon E14NSUK School of Computer Science Fudan UniversityShanghai 200433China

1 Introduction As wireless technology continues to expand,there is a growing concern about the efficient use of spectrum *** though a significant portion of the spectrum is allocated to licensed primary users(PUs),studies indicate that their actual utilization is often limited to between 5%to 10%[1].The underutilization of spectrum has given rise to cognitive radio(CR)technology,which allows secondary users(SUs)to opportunistically access these underused resources[2].However,wideband spectrum sensing,the key of CR,is limited by the need for high-speed analog-to-digital converters(ADCs),which are costly and *** spectrum sensing(CSS)addresses this challenge by employing sub-Nyquist rate *** efficiency of active transmission detection heavily depends on the quality of spectrum reconstruction.

关键词： spectrum continue Nyquist

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Revealing true coupling strengths in two-dimensional spectroscopy with sparsity-based signal recovery

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Light(Science & Applications) 2017年第1期6卷 322-327页

作者： Hadas Frostig Tim Bayer yonina C eldar Yaron Silberberg Department of Physics of Complex Systems Weizmann Institute of ScienceRehovot 76100Israel Institut für Physik Carl von Ossietzky Universität OldenburgOldenburg 26129Germany Department of Electrical Engineering TechnionHaifa 32000Israel

Two-dimensional(2D)spectroscopy is used to study the interactions between energy levels in both the field of optics and nuclear magnetic resonance(NMR).Conventionally,the strength of interaction between two levels is inferred from the value of their common off-diagonal peak in the 2D spectrum,which is termed the cross ***,stronger diagonal peaks often have long tails that extend into the locations of the cross peaks and alter their ***,we introduce a method for retrieving the true interaction strengths by using sparse signal recovery techniques and apply our method in 2D Raman spectroscopy experiments.

关键词： multidimensional spectroscopy nonlinear optics sparsity-based algorithms

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Sub-Nyquist spectrum sensing and learning challenge

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Frontiers of Computer Science 2021年第4期15卷 197-201页

作者： Yue GAO Zihang SONG Han ZHANG Sean FULLER Andrew LAMBERT Zhinong YING Petri MAHONEN yonina eldar Shuguang CUI Mark D.PLUMBLEY Clive PARINI Arumugam NALLANATHAN School of Computer Science and Electronic Engineering University of SurreyGuildfordSurrey GU27XHUK National Instruments Corporation(UK)Ltd NewburyBerkshire RG142PZUK Electronic Media Services Ltd BordonHampshire GU350FJUK Sony Research Center Sony CorporationLund 22188Sweden Institute for Networked Systems RWTH Aachen UniversityKackertstrasse 9Aachen 52072Germany Faculty of Math&CS Weizmann institute of ScienceRehovot 7610001Israel School of Science and Engineering The Chinese University of Hong KongShenzhen 518172China School of Electronic Engineering and Computer Science Queen Mary University of LondonLondon E14NSUK

1 Introduction The fact that the spectrum resource is underutilised in certain bands has motivated the dynamic spectrum access(DSA)approach,which enables unlicensed secondary users(SUs)equipped with cognitive radio(CR)devices to access the spectrum without causing significant interference to primary users(PUs).Nowadays,the increasing bandwidth for wireless communication in millimetre-wave and Terahertz frequency bands puts higher requirements on the performance of spectrum sensing technique,the primary enabler of DSA.

关键词： spectrum enable bands

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