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Spectral shaping filters find a rich set of applications in the statistical signal processing problems such as signal modeling, spectral estimation, system identification, and channel equalization. In this paper, we present a new class of LTI causal FIR filters for converting a set of autocorrelation samples representing the input to a prescribed set of output autocorrelation samples. The input autocorrelation...
In commonly used SOS-based methods for blind identification of single input multiple output (SIMO) systems, such as subspace (SS) and least squares (LS), the highest order of unknown FIR channels is assumed to be known or is overestimated. In this paper we propose a new method based on modified Levinson algorithm (MLA) that makes no such assumptions. This method determines which FIR channel is minimum-phase,...
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