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• W1750446783 abstract "Suppose KY and KX are large sets of observed and reference signals, respectively, each containing N signals. Is it possible to construct a filter F : KY → KX that requires a priori information only on few signals, p N , from KX but performs better than the known filters based on a priori information on every reference signal from KX ? It is shown that the positive answer is achievable under quite unrestrictive assumptions. The device behind the proposed method is based on a special extension of the piecewise linear interpolation technique to the case of random signal sets. The proposed technique provides a single filter to process any signal from the arbitrarily large signal set. The filter is determined in terms of pseudo-inverse matrices so that it always exists. Keywords—Wiener filter, filtering of stochastic signals." @default.
• W1750446783 created "2016-06-24" @default.
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• W1750446783 date "2012-07-24" @default.
• W1750446783 modified "2023-09-27" @default.
• W1750446783 title "Piecewise Interpolation Filter for Effective Processing of Large Signal Sets" @default.
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