Results 1 to 10 of about 13,209,050 (212)

Far-field optical nanoscopy [PDF]

open access: yes2010 IEEE Photinic Society's 23rd Annual Meeting, 2007
In 1873, Ernst Abbe discovered what was to become a well-known paradigm: the inability of a lens-based optical microscope to discern details that are closer together than half of the wavelength of light. However, for its most popular imaging mode, fluorescence microscopy, the diffraction barrier is crumbling.
S. Hell
openaire   +6 more sources

Far-field and near-field directionality in acoustic scattering [PDF]

open access: yesNew Journal of Physics, 2020
Far-field directional scattering and near-field directional coupling from simple sources have recently received great attention in photonics: beyond circularly-polarized dipoles, whose directional coupling to evanescent waves was recently applied to ...
Lei Wei, Francisco J Rodríguez-Fortuño
doaj   +2 more sources

Far-field super-resolution chemical microscopy [PDF]

open access: yesLight: Science & Applications, 2023
Far-field chemical microscopy providing molecular electronic or vibrational fingerprint information opens a new window for the study of three-dimensional biological, material, and chemical systems.
Mingwei Tang   +4 more
doaj   +2 more sources

Far-field ultrasonic imaging using hyperlenses [PDF]

open access: yesScientific Reports, 2022
Hyperlenses for ultrasonic imaging in nondestructive evaluation and non-invasive diagnostics have not been widely discussed, likely due to the lack of understanding on their performance, as well as challenges with reception of the elastic wavefield past ...
Mohamed Subair Syed Akbar Ali   +1 more
doaj   +2 more sources

Real-Time Far-Field BCSDF Filtering [PDF]

open access: yesJournal of Imaging
The real-time rendering of large-scale curve-based surfaces (e.g., hair, fabrics) requires efficient handling of bidirectional curve-scattering distribution functions (BCSDFs).
Junjie Wei, Ying Song
doaj   +2 more sources

Channel Estimation for Extremely Large-Scale MIMO: Far-Field or Near-Field? [PDF]

open access: yesIEEE Transactions on Communications, 2021
Extremely large-scale multiple-input-multiple-output (XL-MIMO) is promising to meet the high rate requirements for future 6G. To realize efficient precoding, accurate channel state information is essential. Existing channel estimation algorithms with low
Mingyao Cui, Linglong Dai
semanticscholar   +1 more source

6G Wireless Communications: From Far-Field Beam Steering to Near-Field Beam Focusing [PDF]

open access: yesIEEE Communications Magazine, 2022
6G networks will be required to support higher data rates, improved energy efficiency, lower latency, and more diverse users compared with 5G systems. To meet these requirements, electrically extremely large-scale antenna arrays are envisioned to be key ...
Haiyang Zhang   +4 more
semanticscholar   +1 more source

Channel Estimation for Extremely Large-Scale Massive MIMO: Far-Field, Near-Field, or Hybrid-Field? [PDF]

open access: yesIEEE Communications Letters, 2021
Extremely large-scale massive MIMO (XL-MIMO) is a promising technique for future 6G communications. However, existing far-field or near-field channel model mismatches the hybrid-field channel feature in the practical XL-MIMO system.
Xiuhong Wei, Linglong Dai
semanticscholar   +1 more source

Mixed Near- and Far-Field Communications for Extremely Large-Scale Array: An Interference Perspective [PDF]

open access: yesIEEE Communications Letters, 2023
Extremely large-scale array (XL-array) is envisioned to achieve super-high spectral efficiency in future wireless networks. Different from the existing works that mostly focus on the near-field communications, we consider in this letter a new and ...
Yunpu Zhang   +3 more
semanticscholar   +1 more source

Codebook design and beam training for extremely large-scale RIS: Far-field or near-field? [PDF]

open access: yesChina Communications, 2021
Reconfigurable intelligent surface (RIS) is more likely to develop into extremely large-scale RIS (XL-RIS) to efficiently boost the system capacity for future 6G communications. Beam training is an effective way to acquire channel state information (CSI)
Xiuhong Wei   +4 more
semanticscholar   +1 more source

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