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P. Siegel

63 papers hereh-index 539k citations338 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author22
  • last author38

Across the 60 of 63 papers where every author was matched, so the position is known.

fields
  • cs.IT61
  • eess.SY1
  • math.CO1
same name
  • P. Siegel — 3 papers, h 8
  • P. Siegel — 3 papers, h 4
  • P. Siegel — 2 papers, h 3
  • P. Siegel — 1 paper, h 13

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20052023
most citedWindowed Decoding of Protograph-based LDPC Convolutional Codes over Erasure Channels

212 citations · 732 across the 56 of their papers we have counts for

collaborators
Showing 2011Show all

4 papers · 1 filter

cs.IT2011★ 1 cited

Enhancing Binary Images of Non-Binary LDPC Codes

Aman Bhatia, Aravind R. Iyengar, Paul H. Siegel

We investigate the reasons behind the superior performance of belief propagation decoding of non-binary LDPC codes over their binary images when the transmission occurs over the bi…

cs.IT2011★ 1 cited

Windowed Decoding of Spatially Coupled Codes

Aravind R. Iyengar, Paul H. Siegel, Rudiger L. Urbanke +1

Spatially coupled codes have been of interest recently owing to their superior performance over memoryless binary-input channels. The performance is good both asymptotically, since…

cs.IT2011

Modeling and Information Rates for Synchronization Error Channels

Aravind R. Iyengar, Paul H. Siegel, Jack K. Wolf

We propose a new channel model for channels with synchronization errors. Using this model, we give simple, non-trivial and, in some cases, tight lower bounds on the capacity for ce…

cs.IT2011★ 59 cited

Adaptive Cut Generation Algorithm for Improved Linear Programming Decoding of Binary Linear Codes

Xiaojie Zhang, Paul H. Siegel

Linear programming (LP) decoding approximates maximum-likelihood (ML) decoding of a linear block code by relaxing the equivalent ML integer programming (IP) problem into a more eas…

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