DocumentCode
3624297
Title
On-Board Detection, Classification and Evaluation of Nonlinearities
Author
Wojciech Toczek;Michal Kowalewski
Author_Institution
Gdansk University of Technology, ul. Narutowicza 11/12, 80-298 Gdansk. Phone: +48 58 3471657, Fax: +48 58 3472255, Email: toczek@eti.pg.gda.pl
fYear
2006
fDate
4/1/2006 12:00:00 AM
Firstpage
1290
Lastpage
1295
Abstract
This paper presents a build-in self-test (BIST) scheme intended for the extraction of diagnostic information from the analog signal coming from oscillation-based test application. Based on the sigma-delta modulation technique and artificial neural networks the proposed scheme can detect nonlinearities, classify the form of nonlinearity and evaluate the total harmonic distortion (THD) of the signal under test
Keywords
"Circuit testing","Artificial neural networks","Built-in self-test","Counting circuits","Delta-sigma modulation","Data mining","Frequency estimation","Automatic testing","Digital modulation","Amplitude estimation"
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
ISSN
1091-5281
Print_ISBN
0-7803-9359-7
Type
conf
DOI
10.1109/IMTC.2006.328496
Filename
4124550
Link To Document