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Given Correlation Manifolds and their Application in Blind Channel Identification

DOI: 10.2174/1876527000901010055

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Abstract:

This paper introduces the new objects named polynomial statistics. We discuss their properties and applicability to the problem of Blind Channel Identification which is a highly topical issue at the moment. This paper proposes a solution to this problem which is based on using polynomial representations of finite random sequence. Algorithms of Blind identification that was described in this paper use a factorization property of so-called given correlation manifolds.

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