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Showing 1 to 3 of 3 for “"LP decoding"”.

  1. Linear Programming Decoding for Non-Uniform Sources and for Binary Channels With Memory

    Linear programming (LP) decoding of low-density parity-check codes was introduced by Feldman et al. in [1]. In his formulation it is assumed that communication takes place over a memoryless channel and that the source is uniform. Here, we extend the LP decoding paradigm by studying its application …

    queens Repository record for Linear Programming Decoding for Non-Uniform Sources and for Binary Channels With Memory (opens in a new tab)

  2. LP/SDP hierarchy lower bounds for decoding random LDPC codes

    … large dv, and dc,) under exponential time decoding. However, polynomial time algorithms are only known to correct a much smaller fraction of errors. One of the most powerful polynomial-time algorithms with a formal analysis is the LP decoding algorithm of Feldman et al. which is known to …

    mit Repository record for LP/SDP hierarchy lower bounds for decoding random LDPC codes (opens in a new tab)

  3. Joint Equalization and Decoding via Convex Optimization

    … is the development of new solutions for decoding and inference problems based on convex optimization methods. Th first part considers the joint detection and decoding problem for low-density parity-check (LDPC) codes on finite-state channels (FSCs). Hard-disk drives (or magnetic recording …

    tdl Repository record for Joint Equalization and Decoding via Convex Optimization (opens in a new tab)