2003•Unpublished venueRequires access

PCA based programmable path signature analysis in BIST

Chuanwu Zhang, Peng Qi-cong, Yubo Li

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Abstract

A novel approach of programmable cellular automata (PCA) based switch path signature analysis in built-in self-test (BIST) is presented in this paper. By taking account of the biased output bits of the circuit under test (CUT), while computing the aliasing probability, we can obtain a lower bound of the aliasing probability, contrasting with former methods such as linear feedback shift registers (LFSR) and multiple input shift registers (MISR).

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What this paper is about

A novel approach of programmable cellular automata (PCA) based switch path signature analysis in built-in self-test (BIST) is presented in this paper. By taking account of the biased output bits of the circuit under test (CUT), while computing the aliasing probability, we can obtain a lower bound of the aliasing probability, contrasting with former methods such as linear feedback shift registers (LFSR) and multiple input shift registers (MISR).

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Available abstract

A novel approach of programmable cellular automata (PCA) based switch path signature analysis in built-in self-test (BIST) is presented in this paper. By taking account of the biased output bits of the circuit under test (CUT), while computing the aliasing probability, we can obtain a lower bound of the aliasing probability, contrasting with former methods such as linear feedback shift registers (LFSR) and multiple input shift registers (MISR).

Key concepts: Linear feedback shift register, Aliasing, Signature (topology), Built-in self-test, Path (computing), Computer science, Shift register, Algorithm

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