Information recovery from randomly mixed-up message text
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Information recovery from randomly mixed-up message text |
2. | Creator | Author's name, affiliation, country | Jyri Lember; University of Tartu, Estonia |
2. | Creator | Author's name, affiliation, country | Heinrich Matzinger; University of Bielefeld, Germany |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Scenery reconstruction; random walk in random environment |
3. | Subject | Subject classification | 60G50; 60K37 |
4. | Description | Abstract | This paper is concerned with finding a fingerprint of a sequence. As input data one uses the sequence which has been randomly mixed up by observing it along a random walk path. A sequence containing order exp (n) bits receives a fingerprint with roughly n bits information. The fingerprint is characteristic for the original sequence. With high probability the fingerprint depends only on the initial sequence, but not on the random walk path. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | Estonian science foundation (grant 5694) |
7. | Date | (YYYY-MM-DD) | 2008-03-20 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ejp.ejpecp.org/article/view/491 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v13-491 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 13 |
12. | Language | English=en | |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
15. | Rights | Copyright and permissions | The Electronic Journal of Probability applies the Creative Commons Attribution License (CCAL) to all articles we publish in this journal. Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles published in EJP, so long as the original authors and source are credited. This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available. Summary of the Creative Commons Attribution License You are free
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