Output details
15 - General Engineering
University of Hertfordshire
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Output 0 of 0 in the submission
Article title
Comparative study of adaptive techniques for denoising CN Tower lightning current derivative signals
Type
D - Journal article
Title of journal
Digital Signal Processing
Article number
-
Volume number
20
Issue number
2
First page of article
607
ISSN of journal
1051-2004
Year of publication
2010
URL
-
Number of additional authors
3
Additional information
- Involved removing noise from lightning strike records which included extremes of current swings infested with noise.
- New adaptive de-noising approach (Divide-and-Conquer) has been successfully developed, algorithms and models developed to de-noise the CN Tower lightning current derivative wave-shapes.
- Integrity of the information contained within the noise infested waveforms maintained.
- Benefitted from commercially available modelling and simulation tools which themselves were validated by this research.
- This work is the culmination of 15 years of international collaboration with staff at Ryerson Polytechnic University
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
