.png){kind=icon}
Return
An Efficient Construction Strategy for Near-Optimal Variable-Length Error-Correcting Codes
.png){kind=icon}
PRE
AI
DOI：10.1109/LCOMM.2019.2891623.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this letter, we present an efficient cross-entropy (CE)-based algorithm for the design of variable-length error-correcting (VLEC) codes under the joint source and channel coding (JSCC) framework. The algorithm enables us to construct the near-optimal VLEC codes that have the minimum average code-word length (ACL) with low search complexity. The efficiency of the proposed CE-based algorithm makes it possible to construct the VLEC codes that have small ACL values under various free-distance constraints, especially for large-sized signal alphabets.
Keywords:
Joint source-channel coding (JSCC)
separate source-channel coding (SSCC)
variable-length error-correcting (VLEC) codes
cross-entropy method
Journal
IF:
4.4
Papers:
1.3W
Citations:
2.2W
Organization
Cited Papers
.png){kind=icon}
ShareSaveShareSave no more
no more