Improved multiexponential transient spectroscopy by iterative deconvolution

Author

Marco, Santiago ; Palacìn, Jordi ; Samitier, Josep

Author_Institution

Dept. d´´Electron., Barcelona Univ., Spain

Volume

50

Issue

3

fYear

2001

fDate

6/1/2001 12:00:00 AM

Firstpage

774

Lastpage

780

Abstract

The analysis of multiexponential decays is challenging because of their complex nature. When analyzing these signals, not only the parameters, but also the orders of the models, have to be estimated. We present an improved spectroscopic technique specially suited for this purpose. The proposed algorithm combines an iterative linear filter with an iterative deconvolution method. A thorough analysis of the noise effect is presented. The performance is tested with synthetic and experimental data

Keywords

Gaussian noise; Laplace transforms; curve fitting; deconvolution; deep level transient spectroscopy; discrete time filters; exponential distribution; iterative methods; least squares approximations; spectroscopy computing; Gaussian noise; discrete-time implementation; improved spectroscopic technique; inverse Laplace transform; iterative deconvolution; iterative linear filter; multiexponential decays; multiexponential transient spectroscopy; noise effect; thermal transient; Algorithm design and analysis; Deconvolution; Filters; Iterative algorithms; Iterative methods; Kernel; Semiconductor device noise; Signal analysis; Spectroscopy; Transient analysis;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.930453

Filename

930453