
doi: 10.1109/26.48892
Summary: Distortion-free compressibility of individual pictures by finite-state encoders is investigated. In a recent paper [\textit{A. Lempel} and \textit{J. Ziv}, IEEE Trans. Inf. Theory, IT-32, 1-8 (1986)], the compressibility of a given picture I was defined and shown to be the asymptotically attainable lower bound on the compression ratio that can be achieved for I by any finite-state encoder. In this paper, a different and more direct approach is taken to prove similar results, which are summarized in a converse-to-coding theorem and a constructive-coding-theorem that leads to a universal and asymptotically optimal compression algorithm.
converse-to- coding theorem, finite-state encoders, Source coding, Distortion-free compressibility, constructive-coding-theorem
converse-to- coding theorem, finite-state encoders, Source coding, Distortion-free compressibility, constructive-coding-theorem
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
