Advances in Cryptology — CRYPTO ’94
DOI: 10.1007/3-540-48658-5_31
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A Fourier Transform Approach to the Linear Complexity of Nonlinearly Filtered Sequences

Abstract: A method for analyzing the linear complexity of nonlinear filterings of PN-sequences that is based on the Discrete Fourier Transform is presented.The method makes use of "Blahut's theorem", which relates the linear complexity of an N-periodic sequence in G P ( P )~ and the Hamming weight of its frequency-domain associate. To illustrate the power of this approach, simple proofs are given of Key's bound on linear complexity and of a generalization of a condition of Groth and Key for which equality holds in this … Show more

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Cited by 37 publications
(20 citation statements)
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“…A well known result of Key [89] gives an upper bound on the linear span of the resulting sequence. As pointed out in [136] this result is most easily proven using Blahut's theorem. The Hadamard product c = a · b of sequences a, b is the termwise product, c = (a 0 b 0 , a 1 b 1 , · · ·).…”
Section: 5b Nonlinear Filtersmentioning
confidence: 79%
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“…A well known result of Key [89] gives an upper bound on the linear span of the resulting sequence. As pointed out in [136] this result is most easily proven using Blahut's theorem. The Hadamard product c = a · b of sequences a, b is the termwise product, c = (a 0 b 0 , a 1 b 1 , · · ·).…”
Section: 5b Nonlinear Filtersmentioning
confidence: 79%
“…The result is credited to R. Blahut by J. Massey in [134] because it appears implicitly in [10]. See also [136] for a self-contained exposition. We use standard facts from Sections 2.3 and 3.2.h concerning the Fourier transform.…”
Section: Blahut's Theoremmentioning
confidence: 99%
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“…We can use the Walsh-Hadamard technique [28] to find the best linear approximation for the boolean function g such that:…”
Section: Descriptionmentioning
confidence: 99%