Efficient Removal of Noise and Interference in Multichannel Quadrupole Resonance
Butt, Naveed LU and Jakobsson, Andreas LU
(2011)
45th Annual Asilomar Conference on Signals, Systems, and Computers, 2011
- Abstract
- We present an improved multichannel detection algorithm for use in nuclear quadrupole resonance (NQR) applications. The
presented method exploits spatial diversity and additional noise-only data to efficiently remove spatially and temporally
correlated noise and interference components from the measured data. Numerical investigations indicate that the “cleaner” data,
thus obtained, allows for improved estimates of the NQR signal parameters. These improved estimates, in turn, lead to superior
detection performance compared to the current state-of-the-art multichannel algorithms.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2214249
- author
- Butt, Naveed
LU
and Jakobsson, Andreas
LU
- organization
- publishing date
- 2011
- type
- Contribution to conference
- publication status
- published
- subject
- conference name
- 45th Annual Asilomar Conference on Signals, Systems, and Computers, 2011
- conference location
- Pacific Grove, CA, United States
- conference dates
- 2011-11-06 - 2011-11-08
- external identifiers
-
- scopus:84861322319
- language
- English
- LU publication?
- yes
- id
- ab4e7463-2460-441f-b8d0-03ecc7510af7 (old id 2214249)
- date added to LUP
- 2016-04-04 13:56:02
- date last changed
- 2022-01-30 01:07:24
@misc{ab4e7463-2460-441f-b8d0-03ecc7510af7,
abstract = {{We present an improved multichannel detection algorithm for use in nuclear quadrupole resonance (NQR) applications. The<br/><br>
presented method exploits spatial diversity and additional noise-only data to efficiently remove spatially and temporally<br/><br>
correlated noise and interference components from the measured data. Numerical investigations indicate that the “cleaner” data,<br/><br>
thus obtained, allows for improved estimates of the NQR signal parameters. These improved estimates, in turn, lead to superior<br/><br>
detection performance compared to the current state-of-the-art multichannel algorithms.}},
author = {{Butt, Naveed and Jakobsson, Andreas}},
language = {{eng}},
title = {{Efficient Removal of Noise and Interference in Multichannel Quadrupole Resonance}},
year = {{2011}},
}