DocumentCode :
1535325
Title :
Are primitive polynomials always best in signature analysis?
Author :
Ahmad, A. ; Nanda, N.K. ; Garg, K.
Author_Institution :
Roorkee Univ., India
Volume :
7
Issue :
4
fYear :
1990
Firstpage :
36
Lastpage :
38
Abstract :
It is shown that in testing technique based on linear-feedback shift registers, the use of primitive polynomials in a signature-analysis register is not always better than using nonprimitive polynomials. The results show how some primitive polynomials may actually yield maximum aliasing errors. These results are based on the simulation of single stuck-at faults, but they also hold for certain multiple stuck-at faults. The best testing technique appears to be one that uses a binary counter in test-pattern generation with a primitive polynomial in signature analysis.<>
Keywords :
fault location; feedback; logic testing; polynomials; shift registers; binary counter; linear-feedback shift registers; maximum aliasing errors; primitive polynomials; signature analysis; simulation; single stuck-at faults; test-pattern generation; Built-in self-test; Circuit faults; Circuit simulation; Circuit testing; Computational modeling; Counting circuits; Decoding; Performance analysis; Polynomials; Test pattern generators;
fLanguage :
English
Journal_Title :
Design & Test of Computers, IEEE
Publisher :
ieee
ISSN :
0740-7475
Type :
jour
DOI :
10.1109/54.57912
Filename :
57912
Link To Document :
بازگشت