@inproceedings{22028345baaa40139571da6fbac63935,
title = "A data fusion approach to blind deconvolution of multifrequency eddy current data",
abstract = "C-scan data obtained from multifrequency eddy current inspection are smeared representations of true flaws due to finite size of inspection probes. Deconvolution algorithms are commonly used to remove the effect of finite probe size and estimate the true flaw footprint. Single frequency blind deconvolution techniques are insufficient to correctly determine the true flaw footprint since single frequency eddy current inspection does not provide sufficient information about a flaw. This paper proposes a blind deconvolution algorithm that estimates the flaw footprint by using complementary information present across multifrequency eddy current inspection data. Initial results of applying the algorithm to steam generator tubing inspection data indicate the feasibility and robustness of the proposed algorithm.",
author = "Mrityunjay Kumar and Pradeep Ramuhalli",
year = "2005",
month = apr,
day = "9",
doi = "10.1063/1.1916745",
language = "English",
isbn = "0735402450",
series = "AIP Conference Proceedings",
pages = "712--719",
booktitle = "Review of Progress in Quantitative Nondestructive Evaluation Volume 24",
note = "Review of Progress in Quantitative Nondestructive Evaluation ; Conference date: 25-07-2004 Through 30-07-2004",
}