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
fDate :
4/1/2006 12:00:00 AM
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"
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Print_ISBN :
0-7803-9359-7
DOI :
10.1109/IMTC.2006.328496
