Noniterative waveform deconvolution using analytic reconstruction filters with time-domain weighting

Author

Roy, Sandip ; Souders, Michael

Author_Institution

MIT, Cambridge, MA, USA

Volume

50

Issue

4

fYear

2001

fDate

8/1/2001 12:00:00 AM

Firstpage

899

Lastpage

904

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 noniterative 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

Keywords

band-pass filters; deconvolution; error statistics; filtering theory; signal reconstruction; signal representation; time-domain analysis; transient response; waveform analysis; Gaussian distribution; analytic reconstruction filters; bandpass filter; fast step-like signals; impulse response; impulsive signals; indicated error function; noise amplification control; noniterative waveform deconvolution; signal reconstruction; signal representation; time-domain weighting; uncertainties; Current measurement; Deconvolution; Error correction; Filters; Noise shaping; Optimization methods; Oscilloscopes; Sampling methods; Shape control; Time domain analysis;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.948296

Filename

948296