Root counting, the DFT and the linear complexity of nonlinear filtering (Q1265231)

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scientific article; zbMATH DE number 1202996
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Root counting, the DFT and the linear complexity of nonlinear filtering
scientific article; zbMATH DE number 1202996

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    Root counting, the DFT and the linear complexity of nonlinear filtering (English)
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    17 August 1999
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    The linear complexity of a binary sequence can be analysed with one of the two methods: the root counting or the method based on the Discrete Fourier Transform (DFT) and Blahut's Theorem. The main goal of the paper is to show that both approaches are equivalent: any analysis based on root counting can be converted into a DFT-type analysis and vice-versa. It also illustrates the utility of the DFT approach to linear complexity by applying it to the problem of nonlinear filtering of binary \(m\)-sequences.
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    linear complexity
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    discrete Fourier transform
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    nonlinear filtering
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    stream cipher
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    cryptography
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