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Reconfigurable Linear Decompressors Using Symbolic Gaussian Elimination

Published: 07 March 2005 Publication History

Abstract

A methodology for designing a reconfigurable linear decompressor is presented. A symbolic Gaussian elimination method to solve a constrained Boolean matrix is proposed and utilized for designing the reconfigurable network. The proposed scheme can be implemented in conjunction with any decompressor that has a combinational linear network. Using the given linear decompressor as a starting point, the proposed method improves the compression further. A nice feature of the proposed method is that it can be implemented with very little hardware overhead. Experimental results indicate that significant improvements can be achieved.

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Cited By

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  • (2006)Improving linear test data compressionIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2006.88641714:11(1227-1237)Online publication date: 1-Nov-2006

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cover image ACM Conferences
DATE '05: Proceedings of the conference on Design, Automation and Test in Europe - Volume 2
March 2005
630 pages
ISBN:0769522882

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IEEE Computer Society

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Published: 07 March 2005

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  • (2006)Improving linear test data compressionIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2006.88641714:11(1227-1237)Online publication date: 1-Nov-2006

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