Results 21 to 30 of about 80,642 (158)

Computational optical biopsy [PDF]

open access: yesBioMedical Engineering OnLine, 2005
Abstract Optical molecular imaging is based on fluorescence or bioluminescence, and hindered by photon scattering in the tissue, especially in patient studies. Here we propose a computational optical biopsy (COB) approach to localize and quantify a light source deep inside a subject.
Li, Yi, Jiang, Ming, Wang, Ge
openaire   +5 more sources

3D DIGITIZATION OF AN HERITAGE MASTERPIECE - A CRITICAL ANALYSIS ON QUALITY ASSESSMENT [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Despite being perceived as interchangeable when properly applied, close-range photogrammetry and range imaging have both their pros and limitations that can be overcome using suitable procedures.
F. Menna   +5 more
doaj   +1 more source

Photonic Matrix Computing: From Fundamentals to Applications

open access: yesNanomaterials, 2021
In emerging artificial intelligence applications, massive matrix operations require high computing speed and energy efficiency. Optical computing can realize high-speed parallel information processing with ultra-low energy consumption on photonic ...
Junwei Cheng, Hailong Zhou, Jianji Dong
doaj   +1 more source

Single-shot mid-infrared incoherent holography using Lucy-Richardson-Rosen algorithm

open access: yesOpto-Electronic Science, 2022
In recent years, there has been a significant transformation in the field of incoherent imaging with new possibilities of compressing three-dimensional (3D) information into a two-dimensional intensity distribution without two-beam interference (TBI ...
Vijayakumar Anand   +9 more
doaj   +1 more source

Optical computing for optical coherence tomography. [PDF]

open access: yesSci Rep, 2016
AbstractWe propose an all-optical Fourier transformation system for real-time massive data processing in high speed optical coherence tomography (OCT). In the so-called optical computing OCT, fast Fourier transformation (FFT) of A-scan signal is optically processed in real time before being detected by photoelectric detector.
Zhang X   +8 more
europepmc   +4 more sources

Experimental Demonstration of Zadoff–Chu Matrix Transform Precoding for MIMO-OFDM Visible Light Communications

open access: yesAdvances in Condensed Matter Physics, 2020
Visible light communication (VLC) based on a light-emitting diode (LED) is considered to be a potential candidate for the next-generation communication.
Xinyue Guo, Chuxian Wang, Wei Wang
doaj   +1 more source

Optoelectronic integrated circuits for analog optical computing: Development and challenge

open access: yesFrontiers in Physics, 2022
Over the past 2 decades, researches in artificial neural networks (ANNs) and deep learning have flourished and enabled the applications of artificial intelligence (AI) in image recognition, natural language processing, medical image analysis, molecular ...
Yihang Dan   +8 more
doaj   +1 more source

Entropy Loading Design for the MIMO-OFDM Visible Light Communication System Using the OCT Precoding Technique

open access: yesAdvances in Condensed Matter Physics, 2020
In this paper, an orthogonal circulant matrix transform (OCT) precoding technique is proposed to combine with the entropy loading in the multiple-input multiple-output and orthogonal frequency division multiplexing (MIMO-OFDM) visible light communication
Xinyue Guo, Haimeng Zhao, Wei Wang
doaj   +1 more source

Switching MIMO System with Adaptive OFDM Modulation for Indoor Visible Light Communication

open access: yesAdvances in Condensed Matter Physics, 2018
In this paper, we propose and experimentally demonstrate a switching multiple input and multiple output (MIMO) system combining with adaptive orthogonal frequency division multiplexing (OFDM) modulation for high-speed indoor visible light communications.
Xinyue Guo, Keer Zhang, Xufa Huang
doaj   +1 more source

Brain-inspired global-local learning incorporated with neuromorphic computing

open access: yesNature Communications, 2022
Global and local learning represent two distinct approaches to artificial intelligence. In this manuscript, Wu et al present a hybrid learning strategy, drawing from elements of both approaches, and implement it on a co-designed neuromorphic platform.
Yujie Wu   +14 more
doaj   +1 more source

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