Results 101 to 110 of about 541,388 (266)

One bit at a time : the use of quantized compressive sensing in radar signal processing

, 2021
This thesis studies the harsh quantization of radar signals. More specifically, what can be achieved in terms of localization of targets using FMCW radars from 1-bit dithered measurements and processing. The first part of this thesis leverages the framework of Quantized Compressive Sensing to achieve high quality localizations using coarse 1-bit ...
openaire   +1 more source

Coherence Awareness in Diffractive Neural Networks

Laser &Photonics Reviews, EarlyView.
It is demonstrated that spatial coherence significantly impacts all‐optical diffractive neural networks, unlike imaging systems. A general framework is proposed for training diffractive networks for any specified degree of spatial and temporal coherence. Coherence‐blind networks are further introduced, which are resilient to illumination changes. These
Matan Kleiner, Lior Michalei, Tomer Michalei   +2 more
wiley   +1 more source

Silicon‐Integrated Perovskite Photonic Laser Based on Bound States in Continuum

Laser &Photonics Reviews, EarlyView.
A strategy to integrate perovskite coherent light sources onto commercial silicon platform is proposed. Based on the bound states in the continuum, the energy leakage from perovskite microdisk to silicon is totally removed, leading to the observation of perovskite lasers on silicon with a laser quality factor ∼4850.
Zhiyuan Gu, Hao Gu, Nan Zhang, Sen Jiang, Gang Wang, Yulin Mao, Jinfeng Liao, Shengchun Yang, Chao Liang, Guichuan Xing   +9 more
wiley   +1 more source

Discrete Chiral Ballistic Polariton Laser

Laser &Photonics Reviews, EarlyView.
Planar microcavities in the strong light–matter coupling regime exhibit exciton‐polariton modes with a strong chiral response toward circularly polarized light. This feature is exploited alongside inherent spin‐orbit coupling of cavity light to generate giant discrete optical vortices in polygonal arrays of exciton‐polariton condensates.
Zuzanna Werner, Andrzej Frączak, Valtýr Kári Daníelsson, Jacek Szczytko, Barbara Piętka, Helgi Sigurðsson   +5 more
wiley   +1 more source

Narrow Linewidth Laser Based on Extended Topological Interface States in 1D Photonic Crystals

Laser &Photonics Reviews, EarlyView.
This work introduces a novel 1D‐TISE‐PhC semiconductor laser structure achieving uniform photon distribution, reduced linewidth (126 kHz), robust single‐mode performance (SMSR up to 50 dB), precise wavelength control, and tolerance to fabrication variations, demonstrated experimentally in an eight‐channel array.
Xiao Sun, Zhibo Li, Yiming Sun, Yupei Wang, Jue Wang, John H. Marsh, Stephen J. Sweeney, Anthony E. Kelly, Lianping Hou   +8 more
wiley   +1 more source

Graph convolutional reinforcement learning for resource allocation in hybrid overlay–underlay cognitive radio network with network slicing

IET Communications, Volume 17, Issue 2, Page 215-227, January 2023., 2023
Abstract Nowadays, wireless communication system is facing the problems of spectrum resource shortage. Cognitive radio technology allows cognitive users to use the spectrums authorized to primary users to improve the spectrum utilization. In this paper, a cognitive network model based on hybrid overlay–underlay spectrum access mode is established.
Siyu Yuan, Yong Zhang, Tengteng Ma, Zhenjie Cheng, Da Guo   +4 more
wiley   +1 more source

A Heavy Metal Ion Water Quality Detection Model Based on Spectral Analysis: New Methods for Enhancing Detection Speed and Visible Spectral Denoising. [PDF]

Sensors (Basel)
Sun B, Yang S, Cheng X.
europepmc   +1 more source

TransAnaNet: Transformer‐based anatomy change prediction network for head and neck cancer radiotherapy

Medical Physics, EarlyView.
Abstract Background Adaptive radiotherapy (ART) can compensate for the dosimetric impact of anatomic change during radiotherapy of head–neck cancer (HNC) patients. However, implementing ART universally poses challenges in clinical workflow and resource allocation, given the variability in patient response and the constraints of available resources ...
Meixu Chen, Kai Wang, Michael Dohopolski, Howard Morgan, David Sher, Jing Wang   +5 more
wiley   +1 more source

Semi‐Paired Semi‐Supervised Deep Hashing for cross‐view retrieval

IET Computer Vision, EarlyView., 2022
In this study, a Semi‐Paired Semi‐Supervised Deep Hashing (SPSDH) is proposed. SPSDH is a novel end‐to‐end deep neural network model with high‐order affinity. A non‐local higher‐order affinity measure that better considers the multimodal neighbourhood structure. And a common representation to associate different modalities is introduced, which combined
Yi Wang, Xiaobo Shen, Zhenmin Tang, Ming Zhang   +3 more
wiley   +1 more source

Optimising TinyML with quantization and distillation of transformer and mamba models for indoor localisation on edge devices. [PDF]

Sci Rep
Suwannaphong T, Jovan F, Craddock I, McConville R.   +3 more
europepmc   +1 more source