DocumentCode :
341123
Title :
Time-frequency analysis for multistage A/D converter diagnosis
Author :
Dallet, Dominique ; Berthoumieu, U. ; Saliba, E.
Author_Institution :
CNRS, Bordeaux I Univ., Talence, France
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
493
Abstract :
In this paper, we propose a method based on the time-frequency representation for the diagnosis of a multistage parallel pipelined A/D converters which presents harmonic distortion when all the stage are excited. First, a theoretical background of the joint time-frequency analysis is given and an algorithm using the Fourier transform approach with a Gaussian window is proposed. After a brief presentation of the multistage parallel-pipelined A/D converter architecture, its simulated version with three stages is presented. Due to its architecture, this study emphasizes the fact that faults span non-stationary phenomena. Finally, the time-frequency representation should be more adequate in order to analyze the time arrival of this phenomena. Indeed, this information allows a better diagnosis of this kind of converter
Keywords :
analogue-digital conversion; automatic testing; electronic equipment testing; fast Fourier transforms; fault diagnosis; harmonic distortion; time-frequency analysis; Fourier transform; Gaussian window; harmonic distortion; multistage A/D converter diagnosis; non-stationary phenomena; parallel pipelined A/D converters; parallel-pipelined A/D converter architecture; simulated version; time arrival; time-frequency analysis; time-frequency representation; Algorithm design and analysis; Circuit faults; Circuit testing; Fast Fourier transforms; Fault diagnosis; Fourier transforms; Harmonic distortion; Information analysis; Signal to noise ratio; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
Conference_Location :
Venice
ISSN :
1091-5281
Print_ISBN :
0-7803-5276-9
Type :
conf
DOI :
10.1109/IMTC.1999.776800
Filename :
776800
Link To Document :
بازگشت