Analog signal processing through space-time digital metasurfaces

In the quest to realize analog signal processing using subwavelength metasurfaces, in this paper, we present the first demonstration of programmable time-modulated metasurface processors based on the key properties of spatial Fourier transformation. Exploiting space-time coding strategy enables loca...
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Autor*in:	Rajabalipanah Hamid [verfasserIn] Abdolali Ali [verfasserIn] Iqbal Shahid [verfasserIn] Zhang Lei [verfasserIn] Cui Tie Jun [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	signal processing space-time digital metasurfaces spatial differentiation and integration

Übergeordnetes Werk:	In: Nanophotonics - De Gruyter, 2016, 10(2021), 6, Seite 1753-1764
Übergeordnetes Werk:	volume:10 ; year:2021 ; number:6 ; pages:1753-1764

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1515/nanoph-2021-0006

Katalog-ID:	DOAJ06163171X

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language	English
source	In Nanophotonics 10(2021), 6, Seite 1753-1764 volume:10 year:2021 number:6 pages:1753-1764
sourceStr	In Nanophotonics 10(2021), 6, Seite 1753-1764 volume:10 year:2021 number:6 pages:1753-1764
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institution	findex.gbv.de
topic_facet	signal processing space-time digital metasurfaces spatial differentiation and integration Physics
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authorswithroles_txt_mv	Rajabalipanah Hamid @@aut@@ Abdolali Ali @@aut@@ Iqbal Shahid @@aut@@ Zhang Lei @@aut@@ Cui Tie Jun @@aut@@
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author	Rajabalipanah Hamid
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topic_title	QC1-999 Analog signal processing through space-time digital metasurfaces signal processing space-time digital metasurfaces spatial differentiation and integration
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title	Analog signal processing through space-time digital metasurfaces
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title_auth	Analog signal processing through space-time digital metasurfaces
abstract	In the quest to realize analog signal processing using subwavelength metasurfaces, in this paper, we present the first demonstration of programmable time-modulated metasurface processors based on the key properties of spatial Fourier transformation. Exploiting space-time coding strategy enables local, independent, and real-time engineering of not only amplitude but also phase profile of the contributing reflective digital meta-atoms at both central and harmonic frequencies. Several illustrative examples are demonstrated to show that the proposed multifunctional calculus metasurface is capable of implementing a large class of useful mathematical operators, including 1st- and 2nd-order spatial differentiation, 1st-order spatial integration, and integro-differential equation solving accompanied by frequency conversions. Unlike the recent proposals based on the Green’s function (GF) method, the designed time-modulated signal processor effectively operates for input signals containing wide spatial frequency bandwidths with an acceptable gain level. Proof-of-principle simulations are also reported to demonstrate the successful realization of image processing functions like edge detection. This time-varying wave-based computing system can set the direction for future developments of programmable metasurfaces with highly promising applications in ultrafast equation solving, real-time and continuous signal processing, and imaging.
abstractGer	In the quest to realize analog signal processing using subwavelength metasurfaces, in this paper, we present the first demonstration of programmable time-modulated metasurface processors based on the key properties of spatial Fourier transformation. Exploiting space-time coding strategy enables local, independent, and real-time engineering of not only amplitude but also phase profile of the contributing reflective digital meta-atoms at both central and harmonic frequencies. Several illustrative examples are demonstrated to show that the proposed multifunctional calculus metasurface is capable of implementing a large class of useful mathematical operators, including 1st- and 2nd-order spatial differentiation, 1st-order spatial integration, and integro-differential equation solving accompanied by frequency conversions. Unlike the recent proposals based on the Green’s function (GF) method, the designed time-modulated signal processor effectively operates for input signals containing wide spatial frequency bandwidths with an acceptable gain level. Proof-of-principle simulations are also reported to demonstrate the successful realization of image processing functions like edge detection. This time-varying wave-based computing system can set the direction for future developments of programmable metasurfaces with highly promising applications in ultrafast equation solving, real-time and continuous signal processing, and imaging.
abstract_unstemmed	In the quest to realize analog signal processing using subwavelength metasurfaces, in this paper, we present the first demonstration of programmable time-modulated metasurface processors based on the key properties of spatial Fourier transformation. Exploiting space-time coding strategy enables local, independent, and real-time engineering of not only amplitude but also phase profile of the contributing reflective digital meta-atoms at both central and harmonic frequencies. Several illustrative examples are demonstrated to show that the proposed multifunctional calculus metasurface is capable of implementing a large class of useful mathematical operators, including 1st- and 2nd-order spatial differentiation, 1st-order spatial integration, and integro-differential equation solving accompanied by frequency conversions. Unlike the recent proposals based on the Green’s function (GF) method, the designed time-modulated signal processor effectively operates for input signals containing wide spatial frequency bandwidths with an acceptable gain level. Proof-of-principle simulations are also reported to demonstrate the successful realization of image processing functions like edge detection. This time-varying wave-based computing system can set the direction for future developments of programmable metasurfaces with highly promising applications in ultrafast equation solving, real-time and continuous signal processing, and imaging.
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title_short	Analog signal processing through space-time digital metasurfaces
url	https://doi.org/10.1515/nanoph-2021-0006 https://doaj.org/article/9932333775114e438caa57f8a5eb0204 https://doaj.org/toc/2192-8606 https://doaj.org/toc/2192-8614
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