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This article presents combined approach to analog electronic circuits testing by means of evolutionary methods (genetic algorithms) and using some aspects of information theory utilisation and wavelet transformation. Purpose is to find optimal excitation signal, which maximises probability of fault detection and location. This paper fo-cuses on most difficult case where very few (usually only input and output) nodes of integrated circuit under test are available.
Rocznik
Tom
Strony
273--280
Opis fizyczny
Bibliogr. 5 poz., rys., tab.
Twórcy
autor
autor
autor
- Faculty of Automatic Control, Electronics and Computer Science; Silesian Technical University 16 Akademicka St., 44-100 Gliwice, Poland, lchruszczyk@polsl.pl
Bibliografia
- [1] A. Balivada, J. Chen, and J.A. Abraham, "Analog testing with time response parameters", IEEE Design & Test of Computers, 18-25 (1996).
- [2] L Daubechies, "Ten lectures on wavelets", CBMS, SIAM 61, 194-202 (1994).
- [3] D. MacKay, Information Theory, Inference and Learning Algorithms, CUP, Cambridge, 2003.
- [4] Matlab v.7.2.0.232 (R2006a), Genetic Algorithm and Direct Search Toolbox v.2.0.1.
- [5] J. Rutkowski, Dictionary Diagnostic Methods, WKL, Warszawa, 2003, (in Polish)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPG5-0028-0002