Mathematical Estimation of Particulate Air Pollution Levels by Aerosols Tomography-Reference-Cited by-同舟云学术

Mathematical Estimation of Particulate Air Pollution Levels by Aerosols Tomography

Published:2022-05-01 Issue:9 Volume:22 Page:8274-8281
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Vernik Or¹^ORCID,Degani Amir²^ORCID,Fishbain Barak²

Affiliation:

1. Department of Applied Mathematics, Faculty of Mathematics, Technion–Israel Institute of Technology, Haifa, Israel

2. Department of Environmental, Water and Agriculture Engineering, Faculty of Civil and Environmental Engineering, Technion–Israel Institute of Technology, Haifa, Israel

Funder

Israeli Ministry of Science and Technology

Israeli Ministry of Environmental Protection

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9766065/09735287.pdf?arnumber=9735287

Reference36 articles.

1. A no reference perceptual blur quality metric in the DCT domain

2. Picture coding using pseudo-random noise

3. A note on Lena

4. The blur effect: Perception and estimation with a new no-reference perceptual blur metric;crété-roffet;Proc SPIE Human Vis Electron Imag,2007

5. Nonuniform sampling, image recovery from sparse data and the discrete sampling theorem

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