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20042021
most citedThreshold Saturation via Spatial Coupling: Why Convolutional LDPC Ensembles Perform so well over the BEC

549 citations · 1.3k across the 49 of their papers we have counts for

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Showing 2011Show all

7 papers · 1 filter

cs.CC2011★ 35 cited

Threshold Saturation in Spatially Coupled Constraint Satisfaction Problems

S. Hamed Hassani, Nicolas Macris, Rudiger Urbanke

We consider chains of random constraint satisfaction models that are spatially coupled across a finite window along the chain direction. We investigate their phase diagram at zero…

cs.IT2011★ 66 cited

Rate-Dependent Analysis of the Asymptotic Behavior of Channel Polarization

S. Hamed Hassani, Ryuhei Mori, Toshiyuki Tanaka +1

For a binary-input memoryless symmetric channel , we consider the asymptotic behavior of the polarization process in the large block-length regime when transmission takes place…

cs.IT2011★ 9 cited

Universal Rateless Codes From Coupled LT Codes

Vahid Aref, Rüdiger L. Urbanke

It was recently shown that spatial coupling of individual low-density parity-check codes improves the belief-propagation threshold of the coupled ensemble essentially to the maximu…

cs.IT2011★ 4 cited

Scaling Behavior of Convolutional LDPC Ensembles over the BEC

Pablo M. Olmos, Rüdiger Urbanke

We study the scaling behavior of coupled sparse graph codes over the binary erasure channel. In particular, let 2L+1 be the length of the coupled chain, let M be the number of vari…

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

Coupled Graphical Models and Their Thresholds

S. Hamed Hassani, Nicolas Macris, Ruediger Urbanke

The excellent performance of convolutional low-density parity-check codes is the result of the spatial coupling of individual underlying codes across a window of growing size, but…