2011•Unpublished venueRequires access

Efficient linear feedback shift register design for pseudo exhaustive test generation in BIST

Nisha Haridas, M. Nirmala Devi

Open publisher page 14 citations

Abstract

Pattern generation is the most important module in a BIST. Out of many test pattern generators (TPG) explored for BIST, linear feedback shift registers (LFSR) are widely used due to their ability to produce highly random patterns. Various improvements over the basic forms of LFSR are available. In the current study, the selection of an appropriate LFSR for a given benchmark circuit is analyzed. It is done by considering various factors such as selection of characteristic polynomial and seed to obtain high fault coverage, minimize invalid patterns, area overhead and time taken to generate the patterns.

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What this paper is about

Pattern generation is the most important module in a BIST. Out of many test pattern generators (TPG) explored for BIST, linear feedback shift registers (LFSR) are widely used due to their ability to produce highly random patterns. Various improvements over the basic forms of LFSR are available. In the current study, the selection of an appropriate LFSR for a given benchmark circuit is analyzed. It is done by considering various factors such as selection of characteristic polynomial and seed to obtain high fault coverage, minimize invalid patterns, area overhead and time taken to generate the patterns.

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OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Pattern generation is the most important module in a BIST. Out of many test pattern generators (TPG) explored for BIST, linear feedback shift registers (LFSR) are widely used due to their ability to produce highly random patterns. Various improvements over the basic forms of LFSR are available. In the current study, the selection of an appropriate LFSR for a given benchmark circuit is analyzed. It is done by considering various factors such as selection of characteristic polynomial and seed to obtain high fault coverage, minimize invalid patterns, area overhead and time taken to generate the patterns.

Key concepts: Linear feedback shift register, Shift register, Benchmark (surveying), Built-in self-test, Overhead (engineering), Computer science, Fault coverage, Selection (genetic algorithm)

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