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Titlebook: Diffractive Optics and Nanophotonics; Resolution Below the Igor Minin,Oleg Minin Book 2016 The Author(s) 2016 3D diffractive optical elemen

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樓主: cerebral-cortex
21#
發(fā)表于 2025-3-25 06:29:58 | 只看該作者
22#
發(fā)表于 2025-3-25 10:04:45 | 只看該作者
Introduction,The criterions of resolution based on classical theory are discussed briefly. The main definitions of focusing area are described.
23#
發(fā)表于 2025-3-25 12:31:53 | 只看該作者
SPP Diffractive Lens as One of the Basic Devices for Plasmonic Information Processing,The concept of the in-plane SPP curvilinear FZP-like lens, which will have a significant impact in science and technology, is offered. The adaptation of free-space 3D binary phase-reversal conical Fresnel zone plate for operation on SPP waves demonstrates that analogues of Fourier diffractive components can be developed for in-plane SPP 3D optics.
24#
發(fā)表于 2025-3-25 19:28:46 | 只看該作者
Conclusion,The main directions of the development of diffractive optics and nanophotonics according to the authors’ point of view are discussed.
25#
發(fā)表于 2025-3-26 00:02:51 | 只看該作者
https://doi.org/10.1007/978-3-319-24253-83D diffractive optical elements; Diffractive photonic crystal lens; Nanophotonics book; Photonic jets a
26#
發(fā)表于 2025-3-26 03:05:13 | 只看該作者
27#
發(fā)表于 2025-3-26 07:26:14 | 只看該作者
SpringerBriefs in Physicshttp://image.papertrans.cn/d/image/278986.jpg
28#
發(fā)表于 2025-3-26 09:54:09 | 只看該作者
Chauncey Starrations in purely electronic circuitry and transmission systems with respect to bandwidth, speed, power consumption and packing densities. The first areas in which optics has already obtained a strong position are to be found in long haul telecommunication networks. Fiber optic transmission lines hav
29#
發(fā)表于 2025-3-26 14:55:13 | 只看該作者
30#
發(fā)表于 2025-3-26 16:49:29 | 只看該作者
Using Inter-feature-Line Consistencies for Sequence-Based Object Recognitionfor object recognition, inter-frame consistencies can be exploited in a sequence-based method, so that a better recognition performance can be achieved. We use the nearest feature line method (NFL)?[8] to model each object. The NFL method is extended in this paper by further integrating motion-conti
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