A rate-distortion theory for permutation spaces

We investigate the lossy compression of the permutation space by analyzing the trade-off between the size of a source code and the distortion with respect to either Kendall tau distance or ℓ[subscript 1] distance of the inversion vectors. For both distortion measures, we characterize the rate-distor...

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Bibliographic Details
Main Authors: Wang, Da, Mazumdar, Arya, Wornell, Gregory W.
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2014
Online Access:http://hdl.handle.net/1721.1/91130
https://orcid.org/0000-0001-9166-4758
Description
Summary:We investigate the lossy compression of the permutation space by analyzing the trade-off between the size of a source code and the distortion with respect to either Kendall tau distance or ℓ[subscript 1] distance of the inversion vectors. For both distortion measures, we characterize the rate-distortion functions and provide explicit code designs that achieve them. Finally, we provide bounds on the higher order terms in the codebook size when the distortion levels lead to degenerate code rates (0 or 1).