The use of deconvolution and iterative optimization for spectrogram interpretation

Author

Morawski, R.Z. ; Miekina, Andrzej ; Barwicz, Andrzej

Author_Institution

Inst. of Radioelectron., Warsaw Univ. of Technol., Poland

Volume

1

fYear

1996

fDate

1996

Firstpage

566

Abstract

The problem of spectrogram interpretation is considered under the assumption that the positions and magnitudes of spectral peaks contain the essential information for spectrometric analysis. The subsequent use of Tikhonov deconvolution and iterative parameter correction is proposed and studied using synthetic data. The resulting gains in accuracy of estimating positions and magnitudes of spectral peaks are demonstrated

Keywords

convergence of numerical methods; deconvolution; error analysis; iterative methods; optimisation; parameter estimation; spectral analysis; Tikhonov deconvolution; accuracy gains; continuous envelope; convergence; error values; iterative optimization; iterative parameter correction; peak magnitude estimation; peak position estimation; spectral peaks; spectrogram interpretation; synthetic data; Constraint optimization; Convolution; Deconvolution; Equations; Information technology; Iterative algorithms; Optimization methods; Random variables; Spectrogram; Spectroscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1996. IMTC-96. Conference Proceedings. Quality Measurements: The Indispensable Bridge between Theory and Reality., IEEE

Conference_Location

Brussels

Print_ISBN

0-7803-3312-8

Type

conf

DOI

10.1109/IMTC.1996.507446

Filename

507446