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Combining dictionary coding and LFSR reseeding for test data compression
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 41st annual Design Automation Conference table of contents
San Diego, CA, USA
SESSION: New scan-based test techniques table of contents
Pages: 944 - 947  
Year of Publication: 2004
ISBN:1-58113-828-8
Authors
Xiaoyun Sun  University of Minnesota, Minneapolis, MN
Larry Kinney  University of Minnesota, Minneapolis, MN
Bapiraju Vinnakota  University of Minnesota, Minneapolis, MN
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper we describe a method to combine dictionary coding and partial LFSR reseeding to improve the ompression efficiency for test data compression. We also present a fast matrix calculation method which significantly reduces the computation time to find a solution for partial LFSR reseeding. Experimental results on ISCAS89 benchmark circuits show that our approach is better than either dictionary coding or LFSR reseeding, and outperforms several test data compression methods proposed recently.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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A.Chandra and K.Chakrabarty, "System-on-a-chip test data compression and decompression architectures based on Golomb codes", IEEE Trans. Computer-Aided Design, vol. 20, pp. 355--368, March 2001.
 
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B.Konemann, "LFSR-coded test patterns for scan designs", Proc. Euro. Test Conf., pp.237--242, 1991.
 
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A.El-maleh and R.Al-Abaji, "Extended frequency directed run length codes with improved application to system-on-a-chip test data compression", Proc. Int. Conf. Elec. Cir. and Sys., pp. 449--452, 2002.
 
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L.Schafer, R.Dorsch, and H.Wunderlich, "RESPIN++ - deterministic embedded test", Proc. Euro. Test Workshop, pp. 37--44, 2002.
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Collaborative Colleagues:
Xiaoyun Sun: colleagues
Larry Kinney: colleagues
Bapiraju Vinnakota: colleagues