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Recently, true-time-delay (TTD) arrays, also referred to as joint phase-time arrays (JPTA), have been investigated for low-cost frequency-dependent beamforming capabilities to enable various applications, including beam-squint correction,…

Signal Processing · Electrical Eng. & Systems 2026-05-11 Ibrahim Pehlivan , Danijela Cabric

This paper proposes a method for automatically monitoring and analyzing the evolution of complex geographic objects. The objects are modeled as a spatiotemporal graph, which separates filiation relations, spatial relations, and…

Computer Vision and Pattern Recognition · Computer Science 2023-05-25 Zouhayra Ayadi , Wadii Boulila , Imed Riadh Farah

In this paper, we present the experimental generation of Airy beams via computational and photorefractive holography. Experimental generation of Airy beams using conventional optical components presents several difficulties and are…

We provide dual algorithms for sampling the space of abstract simplicial complexes on a fixed number of vertices. We develop a generative and descriptive sampler designed with heuristics to help balance the combinatorial multiplicities of…

Computation · Statistics 2018-07-03 John Lombard

With the rapid development of AIGC technologies, generative image steganography has attracted increasing attention due to its high imperceptibility and flexibility. However, existing generative steganography methods often maintain…

Cryptography and Security · Computer Science 2026-02-03 Yuhao Xue , Jiuan Zhou , Yu Cheng , Zhaoxia Yin

Generative dynamic texture models (GDTMs) are widely used for dynamic texture (DT) segmentation in the video sequences. GDTMs represent DTs as a set of linear dynamical systems (LDSs). A major limitation of these models concerns the…

Graphics · Computer Science 2019-01-15 Sahar Yousefi , M. T. Manzuri Shalmani , Antoni B. Chan

We created two dimensional hexagonal cellular automata to obtain complexity. Considering the game of life rules, Wolfram's works about life-like structures and John von Neumann's self-replication, self-maintenance, self-reproduction…

Cellular Automata and Lattice Gases · Physics 2023-02-28 Vural Erdogan

Phase retrieval in optical imaging refers to the recovery of a complex signal from phaseless data acquired in the form of its diffraction patterns. These patterns are acquired through a system with a coherent light source that employs a…

This study introduces a novel expert generation method that dynamically reduces task and computational complexity without compromising predictive performance. It is based on a new hierarchical classification network topology that combines…

Machine Learning · Computer Science 2024-11-21 André Kelm , Niels Hannemann , Bruno Heberle , Lucas Schmidt , Tim Rolff , Christian Wilms , Ehsan Yaghoubi , Simone Frintrop

There has been considerable interest recently in the generation of azimuthal phase functions associated with photon orbital angular momentum (OAM) for high-dimensional quantum key distribution (QKD). The generation of secure quantum keys…

Quantum Physics · Physics 2015-05-13 Mark T. Gruneisen , Warner A. Miller , Raymond C. Dymale , Ayman M. Sweiti

Emerging learned holography approaches have enabled faster and high-quality hologram synthesis, setting a new milestone toward practical holographic displays. However, these learned models require training a dedicated model for each set of…

Computer Vision and Pattern Recognition · Computer Science 2025-04-01 Yicheng Zhan , Liang Shi , Wojciech Matusik , Qi Sun , Kaan Akşit

The retrieval of phases from intensity measurements is a key process in many fields in science, from optical microscopy to x-ray crystallography. Here we study phase retrieval of a one-dimensional multi-phase object that is illuminated by…

Quantum Physics · Physics 2016-02-16 Liat Liberman , Yonatan Israel , Eilon Poem , Yaron Silberberg

There is an urgent need for an effective video classification method by means of a small number of samples. The deficiency of samples could be effectively alleviated by generating samples through Generative Adversarial Networks (GAN), but…

Computer Vision and Pattern Recognition · Computer Science 2019-10-01 Yumeng Zhang , Gaoguo Jia , Li Chen , Mingrui Zhang , Junhai Yong

We introduce a simple scheme to implement synthetic dimensions in ultracold atomic gases, which only requires two basic and ubiquitous ingredients: the harmonic trap, which confines the atoms, combined with a periodic shaking. In our…

Quantum Gases · Physics 2017-02-15 Hannah M. Price , Tomoki Ozawa , Nathan Goldman

We introduce a new method for generation of the phase screen samples with arbitrary spatial spectrum: Sparse Spectrum with uniform wave vectors (SU). Similar to the known Sparse Spectrum (SS) technique, it uses trigonometric series with…

Image and Video Processing · Electrical Eng. & Systems 2019-12-03 Mikhail Charnotskii

Holography plays a crucial role in optics applications, but it traditionally requires complex setup and bulky devices, being unfavourable for optics integration. While metasurface-based holograms are ultra-compact and easy to realize,…

Optics · Physics 2024-06-17 Tong Liu , Changhong Dai , Dongyi Wang , Lei Zhou

Millimeter-wave radar plays a vital role in 3D object detection for autonomous driving due to its all-weather and all-lighting-condition capabilities for perception. However, radar point clouds suffer from pronounced sparsity and…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Zijian Gu , Jianwei Ma , Yan Huang , Honghao Wei , Zhanye Chen , Hui Zhang , Wei Hong

The extreme nonlinear optical process of high-harmonic generation (HHG) makes it possible to map the properties of a laser beam onto a radiating electron wavefunction, and in turn, onto the emitted x-ray light. Bright HHG beams typically…

We present an approach for trapping cold atoms in a 2D optical trap array generated with a novel 4f filtering scheme and custom transmission mask without any active device. The approach can be used to generate arrays of bright or dark…

Quantum Physics · Physics 2022-07-13 P. Huft , Y. Song , T. M. Graham , K. Jooya , S. Deshpande , C. Fang , M. Kats , M. Saffman

Homogenisation empowers the efficient macroscale system level prediction of physical scenarios with intricate microscale structures. Here we develop an innovative powerful, rigorous and flexible framework for asymptotic homogenisation of…

Dynamical Systems · Mathematics 2025-04-08 A. J. Roberts
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