Time-varying maximum transition run constraints

被引:0
|
作者
Poo, TL [1 ]
Marcus, BH [1 ]
机构
[1] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA
关键词
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Maximum transition run (MTR(j)) 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 provide high coding gain for E(n)PR4 channels for n = 2,3. We investigate TMTR constraints parameterized by a vector, introduce the notion of tightness to classify such constraints and simplify their minimal graph presentations. We present new upper bounds on the capacity of TMTR constraints, and give an explicit linear ordering by capacity of all tight TMTR constraints up to period 4. We show that for MTR constrained systems with unconstrained positions, the set of sequences restricted to the constrained positions yields a natural TMTR constraint. Using TMTR constraints, we present a new upper bound on the tradeoff function for MTR systems that relates the density of unconstrained positions to the maximum code rates.
引用
收藏
页码:1468 / 1472
页数:5
相关论文
共 50 条
  • [1] Time-varying maximum transition run constraints
    Poo, T. Lei
    Marcus, Brian H.
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (10) : 4464 - 4480
  • [2] The maximum flow in a time-varying network
    Sha, D
    Cai, X
    Wong, CK
    [J]. OPTIMIZATION, 2000, 48 : 437 - 456
  • [3] Invariance Control with Time-varying Constraints
    Kimmel, Melanie
    Hirche, Sandra
    [J]. 2016 EUROPEAN CONTROL CONFERENCE (ECC), 2016, : 867 - 872
  • [4] A time-varying long run HEAVY model
    Braione, Manuela
    [J]. STATISTICS & PROBABILITY LETTERS, 2016, 119 : 36 - 44
  • [5] Penalized FTRL with Time-Varying Constraints
    Leith, Douglas J.
    Iosifidis, George
    [J]. MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT V, 2023, 13717 : 311 - 326
  • [6] Numerical Optimisation of Time-Varying Strongly Convex Functions Subject to Time-Varying Constraints
    Selvaratnam, Daniel D.
    Shames, Iman
    Manton, Jonathan H.
    Zamani, Mohammad
    [J]. 2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2018, : 849 - 854
  • [7] On Achieving Maximum Performance in Time-Varying Arrays
    Kulasinghe, P.
    El-Amawy, A.
    [J]. Journal of Parallel and Distributed Computing,
  • [8] On achieving maximum performance in time-varying arrays
    Kulasinghe, P
    ElAmawy, A
    [J]. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 1995, 31 (02) : 101 - 111
  • [9] Time-varying universal maximum flow problems
    Cai, X
    Sha, D
    Wong, CK
    [J]. MATHEMATICAL AND COMPUTER MODELLING, 2001, 33 (4-5) : 407 - 430
  • [10] Time-varying shortest path problems with constraints
    Cai, X
    Kloks, T
    Wong, CK
    [J]. NETWORKS, 1997, 29 (03) : 141 - 149