A comparative study of relaxation based iterative deconvolution methods

Author

Crilly, Paul Benjamin

Author_Institution

Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA

fYear

1990

fDate

11-13 Mar 1990

Firstpage

545

Lastpage

549

Abstract

Relaxation-based iterative deconvolution methods have become useful for restoring spectroscopic or chromatographic information that has become distorted by the measurement process. An evaluation is made of several of these techniques. Their RMS error performance, quantitative accuracy and repeatability, rate of convergence, and ability to work with noisy data are investigated. For a class of data that is amplitude-bounded and distorted by a Gaussian-shaped impulse response function, it is shown that P.A. Jansson´s method (1984) provides the best overall performance

Keywords

chromatography; iterative methods; measurement errors; signal processing; spectroscopy; Gaussian-shaped impulse response function; RMS error performance; amplitude-bounded data; chromatographic information; convergence rate; distorted information; noisy data; quantitative accuracy; relaxation-based iterative deconvolution methods; repeatability; spectroscopic information restoration; Additive noise; Deconvolution; Distortion measurement; Electric variables measurement; Equations; Fourier transforms; Frequency; Iterative methods; Spectroscopy; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 1990., Twenty-Second Southeastern Symposium on

Conference_Location

Cookeville, TN

ISSN

0094-2898

Print_ISBN

0-8186-2038-2

Type

conf

DOI

10.1109/SSST.1990.138205

Filename

138205