TY - JOUR
T1 - On Encoding Semiconstrained Systems
AU - Elishco, Ohad
AU - Meyerovitch, Tom
AU - Schwartz, Moshe
N1 - Funding Information:
Manuscript received October 7, 2016; revised August 13, 2017; accepted October 5, 2017. Date of publication November 8, 2017; date of current version March 15, 2018. This work was supported in part by the People Programme (Marie Curie Actions) of the European Union’s Seventh Frame-work Programme (FP7/2007-2013) under Grant 333598 and in part by the Israel Science Foundation under Grant 626/14. This paper was presented in part at the 2016 IEEE International Symposium on Information Theory.
Publisher Copyright:
© 1963-2012 IEEE.
PY - 2018/4/1
Y1 - 2018/4/1
N2 - Semiconstrained systems (SCSs) were recently suggested as a generalization of constrained systems, commonly used in communication and data-storage applications that require certain offending subsequences be avoided. In an attempt to apply the techniques from constrained systems, we study the sequences of constrained systems that are contained in, or contain, a given SCS, while approaching its capacity. In the former case, we describe two such sequences resulting in constant-to-constant bit-rate block encoders and finite-state encoders. Perhaps surprisingly, we show in the latter case, under commonly made assumptions, that the only constrained system that contains a given SCS is the entire space. A refinement to this result is also provided, in which semiconstraints and zero constraints are mixed together.
AB - Semiconstrained systems (SCSs) were recently suggested as a generalization of constrained systems, commonly used in communication and data-storage applications that require certain offending subsequences be avoided. In an attempt to apply the techniques from constrained systems, we study the sequences of constrained systems that are contained in, or contain, a given SCS, while approaching its capacity. In the former case, we describe two such sequences resulting in constant-to-constant bit-rate block encoders and finite-state encoders. Perhaps surprisingly, we show in the latter case, under commonly made assumptions, that the only constrained system that contains a given SCS is the entire space. A refinement to this result is also provided, in which semiconstraints and zero constraints are mixed together.
KW - Constrained coding
KW - channel capacity
KW - encoding
UR - http://www.scopus.com/inward/record.url?scp=85033662853&partnerID=8YFLogxK
U2 - 10.1109/TIT.2017.2771743
DO - 10.1109/TIT.2017.2771743
M3 - Article
AN - SCOPUS:85033662853
SN - 0018-9448
VL - 64
SP - 2474
EP - 2484
JO - IEEE Transactions on Information Theory
JF - IEEE Transactions on Information Theory
IS - 4
ER -