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Date
2021Type
- Conference Paper
Abstract
Recent work introduced a framework for signal processing (SP) on meet/join lattices. Such a lattice is partially ordered and supports a meet (or join) operation that returns the greatest lower bound and the smallest upper bound of two elements, respectively. Lattices appear in various domains and can be used, for example, to express rankings in social choice theory or multisets in combinatorial auctions. Discrete lattice SP (DLSP) uses the meet operation as shift and derives associated notions of convolution and Fourier transform for signals indexed by lattices. In this paper we extend DLSP with Wiener filtering for denoising and demonstrate it on two prototypical applications. Show more
Publication status
publishedExternal links
Book title
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Pages / Article No.
Publisher
IEEEEvent
Subject
Meet/join lattice; partially ordered set; algebraic signal processing; combinatorial auction; ranked dataOrganisational unit
03893 - Püschel, Markus / Püschel, Markus
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