Search Results - "Siegel, Paul H"

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  1. 1

    Constructions of Partial MDS Codes Over Small Fields by Gabrys, Ryan, Yaakobi, Eitan, Blaum, Mario, Siegel, Paul H.

    Published in IEEE transactions on information theory (01-06-2019)
    “…Partial MDS (PMDS) codes are a class of erasure-correcting array codes that combine local correction of the rows with global correction of the array. An…”
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    Journal Article
  2. 2

    The Noisy Drawing Channel: Reliable Data Storage in DNA Sequences by Lenz, Andreas, Siegel, Paul H., Wachter-Zeh, Antonia, Yaakobi, Eitan

    Published in IEEE transactions on information theory (01-05-2023)
    “…Motivated by recent advances in DNA-based data storage, we study a communication system, where information is conveyed over many sequences in parallel. In this…”
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    Journal Article
  3. 3

    Rate-Constrained Shaping Codes for Structured Sources by Liu, Yi, Huang, Pengfei, Bergman, Alexander W., Siegel, Paul H.

    Published in IEEE transactions on information theory (01-08-2020)
    “…Shaping codes are used to encode information for use on channels with cost constraints. Applications include data transmission with a power constraint and,…”
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    Journal Article
  4. 4

    Windowed Decoding of Protograph-Based LDPC Convolutional Codes Over Erasure Channels by Iyengar, A. R., Papaleo, M., Siegel, P. H., Wolf, J. K., Vanelli-Coralli, A., Corazza, G. E.

    Published in IEEE transactions on information theory (01-04-2012)
    “…We consider a windowed decoding scheme for LDPC convolutional codes that is based on the belief-propagation (BP) algorithm. We discuss the advantages of this…”
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    Journal Article
  5. 5

    Coding Over Sets for DNA Storage by Lenz, Andreas, Siegel, Paul H., Wachter-Zeh, Antonia, Yaakobi, Eitan

    Published in IEEE transactions on information theory (01-04-2020)
    “…In this paper we study error-correcting codes for the storage of data in synthetic deoxyribonucleic acid (DNA). We investigate a storage model where a data set…”
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    Journal Article
  6. 6

    Joint-Track Equalization and Detection for Bit Patterned Media Recording by Karakulak, Seyhan, Siegel, Paul H., Wolf, Jack Keil, Bertram, H. Neal

    Published in IEEE transactions on magnetics (01-09-2010)
    “…We compare several different detection and equalization methods for bit patterned media recording channels. We consider a scheme that utilizes a joint-track…”
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    Journal Article
  7. 7

    Error analysis and inter-cell interference mitigation in multi-level cell flash memories by Taranalli, Veeresh, Uchikawa, Hironori, Siegel, Paul H.

    “…With an aim to characterize, model and understand the types of errors caused by the inter-cell interference (ICI) effect in flash memories, we perform a series…”
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    Conference Proceeding
  8. 8

    PR-NN: RNN-Based Detection for Coded Partial-Response Channels by Zheng, Simeng, Liu, Yi, Siegel, Paul H.

    “…In this paper, we investigate the use of recurrent neural network (RNN)-based detection of magnetic recording channels with inter-symbol interference (ISI). We…”
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    Journal Article
  9. 9

    Generalized Partial Orders for Polar Code Bit-Channels by Wu, Wei, Siegel, Paul H.

    Published in IEEE transactions on information theory (01-11-2019)
    “…We study partial orders (POs) for the synthesized bit-channels of polar codes. First, we give an alternative proof of an existing PO for bit-channels with the…”
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    Journal Article
  10. 10

    Binary Linear Locally Repairable Codes by Pengfei Huang, Yaakobi, Eitan, Uchikawa, Hironori, Siegel, Paul H.

    Published in IEEE transactions on information theory (01-11-2016)
    “…Locally repairable codes (LRCs) are a class of codes designed for the local correction of erasures. They have received considerable attention in recent years…”
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    Journal Article
  11. 11

    Multi-Erasure Locally Recoverable Codes Over Small Fields: A Tensor Product Approach by Huang, Pengfei, Yaakobi, Eitan, Siegel, Paul H.

    Published in IEEE transactions on information theory (01-05-2020)
    “…Erasure codes play an important role in storage systems to prevent data loss. In this work, we study a class of erasure codes called Multi-Erasure Locally…”
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    Journal Article
  12. 12

    Channel Models for Multi-Level Cell Flash Memories Based on Empirical Error Analysis by Taranalli, Veeresh, Uchikawa, Hironori, Siegel, Paul H.

    Published in IEEE transactions on communications (01-08-2016)
    “…We propose binary discrete parametric channel models for multi-level cell (MLC) flash memories that provide accurate error-correcting code (ECC) performance…”
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    Journal Article
  13. 13

    Quantized Iterative Message Passing Decoders with Low Error Floor for LDPC Codes by Xiaojie Zhang, Siegel, Paul H.

    Published in IEEE transactions on communications (01-01-2014)
    “…The error floor phenomenon observed with LDPC codes and their graph-based, iterative, message-passing (MP) decoders is commonly attributed to the existence of…”
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    Journal Article
  14. 14

    Covering Codes Using Insertions or Deletions by Lenz, Andreas, Rashtchian, Cyrus, Siegel, Paul H., Yaakobi, Eitan

    Published in IEEE transactions on information theory (01-06-2021)
    “…A covering code is a set of codewords with the property that the union of balls, suitably defined, around these codewords covers an entire space. Generally,…”
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    Journal Article
  15. 15

    Row-by-Row Coding Schemes for Inter-Cell Interference in Flash Memory by Buzaglo, Sarit, Siegel, Paul H.

    Published in IEEE transactions on communications (01-10-2017)
    “…Inter-cell interference (ICI) is a significant cause of errors in flash memories. In single-level cell (SLC) flash memory, ICI arises when 1 0 1 patterns are…”
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    Journal Article
  16. 16

    Variable-Length Constrained Coding and Kraft Conditions: The Parity-Preserving Case by Roth, Ron M., Siegel, Paul H.

    Published in IEEE transactions on information theory (01-09-2021)
    “…Previous work by the authors on parity-preserving fixed-length constrained encoders is extended to the variable-length case. Parity-preserving variable-length…”
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    Journal Article
  17. 17

    On Bi-Modal Constrained Coding by Roth, Ron M., Siegel, Paul H.

    Published in IEEE transactions on information theory (01-03-2021)
    “…Bi-modal (respectively, multi-modal) constrained coding refers to an encoding model whereby a user input block can be mapped to two (respectively, multiple)…”
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    Journal Article
  18. 18

    Error Floor Approximation for LDPC Codes in the AWGN Channel by Butler, Brian K., Siegel, Paul H.

    Published in IEEE transactions on information theory (01-12-2014)
    “…This paper addresses the prediction of error floors of low-density parity-check codes transmitted over the additive white Gaussian noise channel. Using a…”
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    Journal Article
  19. 19

    Consecutive Switch Codes by Buzaglo, Sarit, Cassuto, Yuval, Siegel, Paul H., Yaakobi, Eitan

    Published in IEEE transactions on information theory (01-04-2018)
    “…Switch codes, first proposed by Wang et al. , are codes that are designed to increase the parallelism of data writing and reading processes in network…”
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    Journal Article
  20. 20

    Constrained Codes that Mitigate Inter-Cell Interference in Read/Write Cycles for Flash Memories by Minghai Qin, Yaakobi, Eitan, Siegel, Paul H.

    “…Inter-cell interference (ICI) is one of the main obstacles to precise programming (i.e., writing) of a flash memory. In the presence of ICI, the voltage level…”
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    Journal Article