Title
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 GF(q)N 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 bound.
Year
DOI
Venue
1994
10.1007/3-540-48658-5_31
CRYPTO
Keywords
Field
DocType
simple proof,nonlinear filterings,discrete fourier transform,linear complexity,n-periodic sequence,frequency-domain associate,hamming weight,fourier transform approach,frequency domain,nonlinear filter,fourier transform
Discrete-time Fourier transform,Non-uniform discrete Fourier transform,Discrete mathematics,Fourier inversion theorem,Parseval's theorem,Discrete Fourier transform (general),Discrete Fourier transform,Fourier transform on finite groups,Fractional Fourier transform,Mathematics
Conference
ISBN
Citations 
PageRank 
3-540-58333-5
31
2.89
References 
Authors
5
2
Name
Order
Citations
PageRank
James L. Massey11096272.94
Shirlei Serconek2544.94