caa a22 4500 469039671 CHVBK 20180323132807.0 cr unu---uuuuu 170328e19920201xx s 000 0 eng 10.1007/BF00159827 doi (NATIONALLICENCE)springer-10.1007/BF00159827 Robinson John Electrical & Computer Engineering, University of Iowa, 52242, Iowa City, Iowa, USA aut Aliasing probability transients [Elektronische Daten] [John Robinson] Test data reduction for digital systems is often accomplished through the use of a feedback shift register. This method, known as signature analysis, can exhibit error masking or aliasing. Recent analysis has shown that the use of a primitive polynomial for the register feedback can reduce the probability of aliasing. In this work we demonstrate that not all primitive polynomials are created equal. Some primitive polynomials can have very large transients in their aliasing probability. For example, 1 +X 13 +X 33 can exhibit an aliasing probability more than a million times larger than its asymptotic value of 2−33. An evaluation procedure is presented which can identify polynomials with good transient characteristics. Some recommended feedback polynomials are given. Kluwer Academic Publishers, 1992 Aliasing probability nationallicence aliasing transients nationallicence data compaction nationallicence primitive polynomials nationallicence signature analysis nationallicence Journal of Electronic Testing Kluwer Academic Publishers 3/1(1992-02-01), 9-16 0923-8174 3:1<9 1992 3 10836 https://doi.org/10.1007/BF00159827 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00159827 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Robinson John Electrical & Computer Engineering, University of Iowa, 52242, Iowa City, Iowa, USA aut NATIONALLICENCE 773 0- Journal of Electronic Testing Kluwer Academic Publishers 3/1(1992-02-01), 9-16 0923-8174 3:1<9 1992 3 10836 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer