Compressing Data by Shortest Path Methods

Autor: Dag Haugland, J. G. Heber, John Hakon Husoy
Rok vydání: 1997
Předmět:
Zdroj: Operations Research Proceedings ISBN: 9783540626305
DOI: 10.1007/978-3-642-60744-8_27
Popis: Storage and transmission of signals tend to be resource demanding when the data are processed in their original size. This is not confined to multi-dimensional signals such as images, but is also most relevant in the one-dimensional case considered in this work. Compressing the data in such a way that close reconstructions can be found, is therefore a highly respected problem in signal processing.
Databáze: OpenAIRE