Lowering latency and processing burden in computational imaging through dimensionality reduction of the sensing matrix
Abstract Recent demonstrations have shown that frequency-diverse computational imaging systems can greatly simplify conventional architectures developed for imaging by transferring constraints into the digital layer. Here, in order to limit the latency and processing burden involved in image reconst...
Saved in:
Main Authors: | Thomas Fromentèze, Okan Yurduseven, Philipp del Hougne, David R. Smith |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/297d893aae7d4fb09719b3450f890fa0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Latency Reduction in Vehicular Sensing Applications by Dynamic 5G User Plane Function Allocation with Session Continuity
by: Pablo Fondo-Ferreiro, et al.
Published: (2021) -
Frequency-diverse multimode millimetre-wave constant-ϵ r lens-loaded cavity
by: M. A. B. Abbasi, et al.
Published: (2020) -
Sensing of HIV-1 by TLR8 activates human T cells and reverses latency
by: Hany Zekaria Meås, et al.
Published: (2020) -
Time Latency-Centric Signal Processing: A Perspective of Smart Manufacturing
by: Sharifu Ura, et al.
Published: (2021) -
Self-Processing and Self-Face Reaction Time Latencies: A Review
by: Gordon G. Gallup, et al.
Published: (2021)