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Non-Iterative Waveform Deconvolution Using Analytic Reconstruction Filters with Time-Domain Weighting

Published

Author(s)

Sandip Roy, T. M. Souders

Abstract

A new deconvolution approach is described for reconstructing fast step-like or impulsive signals that have been measured with a sampling oscilloscope for which an impulse response estimate is available. The approach uses analytic reconstruction filters to control noise amplification, and a new non-iterative filter optimization that is based on a calculated indicated error function that is similar in shape to the true error. The new method aids in reporting uncertainties of the deconvolution results and it permits the use of time-domain weighting to optimize the measurement of different waveform features. The performance of the proposed approach is compared with that of the Error Energy/Regularization approach that is currently popular.
Proceedings Title
Proc. IEEE Instrumentation and Technology Conference (IMTC)
Volume
3
Conference Dates
May 1-4, 2000
Conference Location
Baltimore, MD

Keywords

deconvolution, filter optimization, reconstruction filter, time-domain weighting, uncertainties

Citation

Roy, S. and Souders, T. (2000), Non-Iterative Waveform Deconvolution Using Analytic Reconstruction Filters with Time-Domain Weighting, Proc. IEEE Instrumentation and Technology Conference (IMTC), Baltimore, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=19342 (Accessed March 5, 2024)
Created April 30, 2000, Updated October 12, 2021