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A Multitaper-Random Demodulator Model for Narrowband Compressive Spectral Estimation

Karampoulas, Dimitrios; Dooley, Laurence S. and Kouadri Mostéfaoui, Soraya (2015). A Multitaper-Random Demodulator Model for Narrowband Compressive Spectral Estimation. In: IEEE Global Conference on Signal and Information Processing (GlobalSIP'15), 14-16 Dec 2015, Orlando, Florida, USA, IEEE.

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The random demodulator (RD) is a compressive sensing (CS) system for acquiring and recovering bandlimited sparse signals, which are approximated by multi-tones. Signal recovery employs the discrete Fourier transform based periodogram, though due to bias and variance constraints, it is an inconsistent spectral estimator. This paper presents a Multitaper RD (MT-RD) architecture for compressive spectrum estimation, which exploits the inherent advantage of the MT spectral estimation method from the spectral leakage perspective. Experimental results for sparse, narrowband signals corroborate that the MT-RD model enhances sparsity so affording superior CS performance compared with the original RD system in terms of both lower power spectrum leakage and improved input noise robustness.

Item Type: Conference or Workshop Item
Copyright Holders: 2015 IEEE
Keywords: compressive sensing; random demodulator; Multitaper; Slepian sequences; eigenspectra
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
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Item ID: 44037
Depositing User: Laurence Dooley
Date Deposited: 18 Aug 2015 11:00
Last Modified: 07 Dec 2018 22:56
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