Search Results - "Kudekar, Shrinivas"

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  1. 1

    Threshold Saturation via Spatial Coupling: Why Convolutional LDPC Ensembles Perform So Well over the BEC by Kudekar, S, Richardson, T J, Urbanke, Rüdiger L

    Published in IEEE transactions on information theory (01-02-2011)
    “…Convolutional low-density parity-check (LDPC) ensembles, introduced by Felström and Zigangirov, have excellent thresholds and these thresholds are rapidly…”
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    Journal Article
  2. 2

    Joint Crosstalk-Avoidance and Error-Correction Coding for Parallel Data Buses by Niesen, Urs, Kudekar, Shrinivas

    Published in IEEE transactions on information theory (01-03-2019)
    “…Communication in integrated circuits faces two major impediments: inter-wire capacitive coupling and noise. Coding can be used to address both these problems…”
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    Journal Article
  3. 3

    Spatially Coupled Ensembles Universally Achieve Capacity Under Belief Propagation by Kudekar, Shrinivas, Richardson, Tom, Urbanke, Rudiger L.

    Published in IEEE transactions on information theory (01-12-2013)
    “…We investigate spatially coupled code ensembles. For transmission over the binary erasure channel, it was recently shown that spatial coupling increases the…”
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    Journal Article
  4. 4

    The effect of spatial coupling on compressive sensing by Kudekar, S, Pfister, H D

    “…Recently, it was observed that spatially-coupled LDPC code ensembles approach the Shannon capacity for a class of binary-input memoryless symmetric (BMS)…”
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    Conference Proceeding
  5. 5

    Reed-Muller Codes Achieve Capacity on Erasure Channels by Kudekar, Shrinivas, Kumar, Santhosh, Mondelli, Marco, Pfister, Henry D., Sasoglu, Eren, Urbanke, Rüdiger L.

    Published in IEEE transactions on information theory (01-07-2017)
    “…We introduce a new approach to proving that a sequence of deterministic linear codes achieves capacity on an erasure channel under maximum a posteriori…”
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    Journal Article
  6. 6

    Analysis of Saturated Belief Propagation Decoding of Low-Density Parity-Check Codes by Kudekar, Shrinivas, Richardson, Tom, Iyengar, Aravind R.

    Published in IEEE transactions on information theory (01-09-2017)
    “…We consider the effect of log-likelihood ratio saturation on the belief-propagation decoding of low-density parity-check codes. Saturation is commonly done in…”
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    Journal Article
  7. 7

    Threshold saturation on BMS channels via spatial coupling by Kudekar, Shrinivas, Meassony, Cyril, Richardson, Tom, Urbankez, Rudiger

    “…We consider spatially coupled code ensembles. A particular instance are convolutional LDPC ensembles. It was recently shown that, for transmission over the…”
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    Conference Proceeding
  8. 8

    Threshold saturation via spatial coupling: Why convolutional LDPC ensembles perform so well over the BEC by Kudekar, Shrinivas, Richardson, Tom, Urbanke, Rüdiger

    “…Convolutional LDPC ensembles, introduced by Felström and Zigangirov, have excellent thresholds and these thresholds are rapidly increasing as a function of…”
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    Conference Proceeding
  9. 9

    Wave-Like Solutions of General 1-D Spatially Coupled Systems by Kudekar, Shrinivas, Richardson, Thomas J., Urbanke, Rudiger L.

    Published in IEEE transactions on information theory (01-08-2015)
    “…We establish the existence of wave-like solutions to spatially coupled graphical models which, in the large size limit, can be characterized by a 1-D…”
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    Journal Article
  10. 10

    Sharp Bounds for Optimal Decoding of Low-Density Parity-Check Codes by Kudekar, S., Macris, N.

    Published in IEEE transactions on information theory (01-10-2009)
    “…Consider communication over a binary-input memoryless output-symmetric channel with low-density parity-check (LDPC) codes and maximum a posteriori (MAP)…”
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    Journal Article
  11. 11
  12. 12

    A Path Metric Based Construction of Polarization-Adjusted Convolutional Codes by Kann, Tyler, Kudekar, Shrinivas, Bloch, Matthieu R.

    “…We propose an approach to understand and exploit Polarization-Adjusted Convolutional (PAC) Codes that is directly tied to decoders with memory, specifically…”
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    Conference Proceeding
  13. 13

    Source Polarization-Adjusted Convolutional Codes by Kann, Tyler, Kudekar, Shrinivas, Bloch, Matthieu

    “…Motivated by applications to low-latency secret key generation in physical-layer security, we study Polarization-Adjusted Convolutional (PAC) codes for source…”
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    Conference Proceeding
  14. 14

    Almost Optimal Scaling of Reed-Muller Codes on BEC and BSC Channels by Hassani, Hamed, Kudekar, Shrinivas, Ordentlich, Or, Polyanskiy, Yury, Urbanke, Rudiger

    “…Consider a binary linear code of length N , minimum distance d_{\min} , transmission over the binary erasure channel with parameter 0 < \epsilon < 1 or the…”
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    Conference Proceeding
  15. 15

    Joint Crosstalk-Avoidance and Error-Correction Coding for Parallel Data Buses by Niesen, Urs, Kudekar, Shrinivas

    Published 19-01-2016
    “…IEEE Transactions on Information Theory, vol. 65, pp. 1626 - 1638, March 2019 Decreasing transistor sizes and lower voltage swings cause two distinct problems…”
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    Journal Article
  16. 16

    Comparing the bit-MAP and block-MAP decoding thresholds of reed-muller codes on BMS channels by Kudekar, Shrinivas, Kumar, Santhosh, Mondelli, Marco, Pfister, Henry D., Urbankez, Rudiger

    “…The question whether RM codes are capacity-achieving is a long-standing open problem in coding theory that was recently answered in the affirmative for…”
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    Conference Proceeding Journal Article
  17. 17

    Almost Optimal Scaling of Reed-Muller Codes on BEC and BSC Channels by Hassani, Hamed, Kudekar, Shrinivas, Ordentlich, Or, Polyanskiy, Yury, Urbanke, Rüdiger

    Published 29-01-2018
    “…Consider a binary linear code of length $N$, minimum distance $d_{\text{min}}$, transmission over the binary erasure channel with parameter $0 < \epsilon < 1$…”
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    Journal Article
  18. 18

    Analysis of Saturated Belief Propagation Decoding of Low-Density Parity-Check Codes by Kudekar, Shrinivas, Richardson, Tom, Iyengar, Aravind

    Published 27-12-2014
    “…We consider the effect of log-likelihood ratio saturation on belief propagation decoder low-density parity-check codes. Saturation is commonly done in practice…”
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    Journal Article
  19. 19

    Spatially Coupled Codes over the Multiple Access Channel by Kudekar, Shrinivas, Kasai, Kenta

    Published 14-02-2011
    “…We consider spatially coupled code ensembles over a multiple access channel. Convolutional LDPC ensembles are one instance of spatially coupled codes. It was…”
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    Journal Article
  20. 20

    The effect of saturation on belief propagation decoding of LDPC codes by Kudekar, Shrinivas, Richardson, Tom, Iyengar, Aravind

    “…We consider the effect of LLR saturation on belief propagation decoding of low-density parity-check codes. Saturation is commonly done in practice and is known…”
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    Conference Proceeding