Weighted PNS sequences for digital alias-free processing signals

Authors:
Dongdong Qu;Andrzej Tarczynski
Affiliations:
Department of Electronic Systems, University of Westminster, London, UK;Department of Electronic Systems, University of Westminster, London, UK
Venue:
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Year:
2006

Citing 3
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Abstract

In this paper Weighted Periodic Nonuniform Sampling (WPNS) for Digital Alias-free Signal Processing is proposed. The work is a direct extension of previous research on Periodic Nonuniform Sampling. First, the methodology of measuring the level of aliasing within the required range of frequencies is proposed. Then the optimal WPNS is found by searching a carefully selected subspace of feasible solutions and applying Lawson algorithm for weight calculation. It is shown that WPNS has better alias-suppression properties than traditional PNS. Both real-and complex-valued weights are considered.