Time-varying maximum transition run constraints

被引:6
|
作者
Poo, T. Lei
Marcus, Brian H.
机构
[1] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA
[2] Univ British Columbia, Dept Math, Vancouver, BC V6T 1Z2, Canada
关键词
capacity; constrained systems; maximum transition run (MTR); time varying; tradeoff function; upper bounds;
D O I
10.1109/TIT.2006.881706
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Maximum transition run (MTR) constrained systems are used to improve detection performance in storage channels. Recently, there has been a growing interest in time-varying MTR (TMTR) systems, after such codes were observed to eliminate certain error events and thus provide high coding gain for E(n)PR4 channels for n = 2, 3. In this work, TMTR constraints parameterized by a vector, whose coordinates specify periodically the maximum runlengths of 1's ending at the positions, are investigated. A canonical way to classify such constraints and simplify their minimal graph presentations is introduced. It is shown that there is a particularly simple presentation for a special class of TMTR constraints and explicit descriptions of their characteristic equations are derived. New upper bounds on the capacity of TMTR constraints are established, and an explicit linear ordering by capacity of all fight TMTR constraints up, to period 4 is given. For MTR constrained systems with unconstrained positions, it is shown that the set of sequences restricted to the constrained positions yields a natural TMTR constraint. Using TMTR constraints, a new upper bound on the tradeoff function for MTR systems that relates the density of unconstrained positions to the maximum code rates is determined.
引用
收藏
页码:4464 / 4480
页数:17
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