Proceedings International Test Conference 1992
DOI: 10.1109/test.1992.527812
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Generation of Vector Pattterns Through Reseeding of Muetiple-Polynomial Linear Feedback Shift Regist

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Cited by 131 publications
(69 citation statements)
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“…According to literature [28], when 2 k − 1 ≥ m, namely the period of LFSR 2 k − 1 is greater than the length of the test cube m, we consider establishing a set of linear equations as constructing a Markov chain (X t ) 1≤t≤s over the state set S = {0, 1, · · · , k}. As shown in Fig.…”
Section: Methods Of Calculating the Optimal Block Lengthmentioning
confidence: 99%
“…According to literature [28], when 2 k − 1 ≥ m, namely the period of LFSR 2 k − 1 is greater than the length of the test cube m, we consider establishing a set of linear equations as constructing a Markov chain (X t ) 1≤t≤s over the state set S = {0, 1, · · · , k}. As shown in Fig.…”
Section: Methods Of Calculating the Optimal Block Lengthmentioning
confidence: 99%
“…Several techniques were proposed to improve the encoding efficiency of the basic scheme in [10]. Utilizing multiple-polynomial LFSRs was introduced in [11] and [12]. An LFSR reseeding scheme with variable-length seed was proposed in [13].…”
Section: Related Workmentioning
confidence: 99%
“…Hellebrand, et al [1992], proposed a method for improving the encoding efficiency of LFSR reseeding by using a multiple-polynomial LFSR (MP-LFSR). An MP-LFSR has a programmable feedback function, and hence can implement different feedback polynomials.…”
Section: Previous Workmentioning
confidence: 99%
“…Several techniques for improving the encoding efficiency of the basic LFSR reseeding methodology (originally described in [Könemann 1991]) have been proposed in Hellebrand et al [1992Hellebrand et al [ , 1995aHellebrand et al [ , 1995b, Venkataraman et al [1993], Zacharia [1995], Zacharia et al [1996], and Rajski et al [1998a]. These techniques will be described in detail in Section 2 and compared with the new technique proposed in this article (preliminary results were published in Krishna et al [2001]).…”
Section: Introductionmentioning
confidence: 99%