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Are Primitive Polynomials Always Best in Signature Analysis?
July/August 1990 (vol. 7 no. 4)
pp. 36-38
| ASCII Text | x | ||
| A. Ahmad, N.K. Nanda, K. Garg, "Are Primitive Polynomials Always Best in Signature Analysis?," IEEE Design & Test of Computers, vol. 7, no. 4, pp. 36-38, July/August, 1990. | |||
| BibTex | x | ||
| @article{ 10.1109/54.57912, author = {A. Ahmad and N.K. Nanda and K. Garg}, title = {Are Primitive Polynomials Always Best in Signature Analysis?}, journal ={IEEE Design & Test of Computers}, volume = {7}, number = {4}, issn = {0740-7475}, year = {1990}, pages = {36-38}, doi = {http://doi.ieeecomputersociety.org/10.1109/54.57912}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Design & Test of Computers TI - Are Primitive Polynomials Always Best in Signature Analysis? IS - 4 SN - 0740-7475 SP36 EP38 EPD - 36-38 A1 - A. Ahmad, A1 - N.K. Nanda, A1 - K. Garg, PY - 1990 VL - 7 JA - IEEE Design & Test of Computers ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/54.57912
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.
Citation:
A. Ahmad, N.K. Nanda, K. Garg, "Are Primitive Polynomials Always Best in Signature Analysis?," IEEE Design & Test of Computers, vol. 7, no. 4, pp. 36-38, July-Aug. 1990, doi:10.1109/54.57912
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