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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 2005 · cs.ITShow all

4 papers · 2 filters

cs.IT2005★ 1 cited

Improved Upper Bounds on Stopping Redundancy

Junsheng Han, Paul H. Siegel

Let C be a linear code with length n and minimum distance d. The stopping redundancy of C is defined as the minimum number of rows in a parity-check matrix for C such that the smal…

cs.IT2005★ 16 cited

Coding for the Optical Channel: the Ghost-Pulse Constraint

Navin Kashyap, Paul H. Siegel, Alexander Vardy

We consider a number of constrained coding techniques that can be used to mitigate a nonlinear effect in the optical fiber channel that causes the formation of spurious pulses, cal…

cs.IT2005★ 3 cited

On the Asymptotic Performance of Iterative Decoders for Product Codes

Moshe Schwartz, Paul H. Siegel, Alexander Vardy

We consider hard-decision iterative decoders for product codes over the erasure channel, which employ repeated rounds of decoding rows and columns alternatingly. We derive the exac…

cs.IT2005★ 11 cited

Relaxation Bounds on the Minimum Pseudo-Weight of Linear Block Codes

Panu Chaichanavong, Paul H. Siegel

Just as the Hamming weight spectrum of a linear block code sheds light on the performance of a maximum likelihood decoder, the pseudo-weight spectrum provides insight into the perf…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.