학술논문

Correcting bursty and localized deletions using guess & check codes
Document Type
Conference
Source
2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton) Communication, Control, and Computing (Allerton), 2017 55th Annual Allerton Conference on. :9-16 Oct, 2017
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Decoding
Encoding
Redundancy
Systematics
Synchronization
Complexity theory
Binary codes
Language
Abstract
We consider the problem of constructing binary codes for correcting deletions that are localized within a certain part of the codeword that is unknown a priori. The model that we study is when δ ≤ w deletions occur in a window of size at most w bits. These δ deletions are not necessarily consecutive, but are restricted to a window of size w. The localized deletions model is a generalization of the bursty model, where all the deleted bits are consecutive. In this work we propose new explicit codes, based on the family of Guess & Check codes [1,2], that can correct, with high probability, δ ≤ w deletions that are localized within a window of size at most w = O (log k), where k is the length of the information message. These codes have deterministic polynomial time encoding and decoding schemes. The redundancy of these codes is c log k + w + 1, where c is a constant representing a code parameter.