Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 39,
  • Issue 3,
  • pp. 484-490
  • (1985)

Deconvolution in the Frequency Domain

Not Accessible

Your library or personal account may give you access

Abstract

The Finite Impulse Response Operator (FIRO) method for improving the resolution of bands in a frequency-domain spectrum, developed recently by Jones and Shimokoshi (Applied Spectroscopy <i>37</i>, 59 (1983)), is discussed in detail and its relationship to the analogous method of Kauppinen <i>et al.</i> (Applied Spectroscopy <i>35</i>, 271 (1981), is shown. Under-, self-, and over-deconvolution are discussed for simulated and experimental spectra. Deconvolution of instrumentally broadened bands is discussed and implemented for the <i>v</i><sub>1</sub> Raman band of CCl<sub>4</sub>; use of a Gauss-Lorentz lineshape gives the best results for this band. General guidelines for application of the FIRO method are also given.

PDF Article
More Like This
Frequency-wavelet domain deconvolution for terahertz reflection imaging and spectroscopy

Yang Chen, Shengyang Huang, and Emma Pickwell-MacPherson
Opt. Express 18(2) 1177-1190 (2010)

Terahertz frequency-wavelet domain deconvolution for stratigraphic and subsurface investigation of art painting

Junliang Dong, J. Bianca Jackson, Marcello Melis, David Giovanacci, Gillian C. Walker, Alexandre Locquet, John W. Bowen, and D. S. Citrin
Opt. Express 24(23) 26972-26985 (2016)

Terahertz deconvolution

Gillian C. Walker, John W. Bowen, Julien Labaune, J-Bianca Jackson, Sillas Hadjiloucas, John Roberts, Gerard Mourou, and Michel Menu
Opt. Express 20(25) 27230-27241 (2012)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.