Please use this identifier to cite or link to this item:
https://dspace.iiti.ac.in/handle/123456789/10880
Title: | A Unified Framework for Problems on Guessing, Source Coding, and Tasks Partitioning |
Authors: | Thakre, AshishKumar, Ashisha; |
Keywords: | Campbell; Partitioning problem; Source-coding; Task partitioning; Unified framework |
Issue Date: | 2022 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Kumar, M. A., Sunny, A., Thakre, A., Kumar, A., & Manohar, G. D. (2022). A unified framework for problems on guessing, source coding, and tasks partitioning. Paper presented at the IEEE International Symposium on Information Theory - Proceedings, , 2022-June 3339-3344. doi:10.1109/ISIT50566.2022.9834851 Retrieved from www.scopus.com |
Abstract: | We formulate a general framework for which Campbell's source coding, Arikan's guessing, Huleihel et al.'s memorryless guessing, Bunte and Lapidoth's tasks partitioning problems are specific ones. We then use this framework to show an equivalence among these problems. © 2022 IEEE. |
URI: | https://doi.org/10.1109/ISIT50566.2022.9834851 https://dspace.iiti.ac.in/handle/123456789/10880 |
ISBN: | 978-1665421591 |
ISSN: | 2157-8095 |
Type of Material: | Conference Paper |
Appears in Collections: | Department of Electrical Engineering |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
Altmetric Badge: