T
Thomas Richardson
Researcher at Qualcomm
Publications - 372
Citations - 28297
Thomas Richardson is an academic researcher from Qualcomm. The author has contributed to research in topics: Low-density parity-check code & Wireless. The author has an hindex of 57, co-authored 372 publications receiving 27197 citations. Previous affiliations of Thomas Richardson include Technion – Israel Institute of Technology & Alcatel-Lucent.
Papers
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Journal ArticleDOI
Design of capacity-approaching irregular low-density parity-check codes
TL;DR: This work designs low-density parity-check codes that perform at rates extremely close to the Shannon capacity and proves a stability condition which implies an upper bound on the fraction of errors that a belief-propagation decoder can correct when applied to a code induced from a bipartite graph with a given degree distribution.
Journal ArticleDOI
The capacity of low-density parity-check codes under message-passing decoding
TL;DR: The results are based on the observation that the concentration of the performance of the decoder around its average performance, as observed by Luby et al. in the case of a binary-symmetric channel and a binary message-passing algorithm, is a general phenomenon.
MonographDOI
Modern Coding Theory
TL;DR: This summary of the state-of-the-art in iterative coding makes this decision more straightforward, with emphasis on the underlying theory, techniques to analyse and design practical iterative codes systems.
Journal ArticleDOI
On the design of low-density parity-check codes within 0.0045 dB of the Shannon limit
TL;DR: Improved algorithms are developed to construct good low-density parity-check codes that approach the Shannon limit very closely, especially for rate 1/2.
Journal ArticleDOI
Analysis of sum-product decoding of low-density parity-check codes using a Gaussian approximation
TL;DR: By using the Gaussian approximation for message densities under density evolution, the sum-product decoding algorithm can be visualize and the optimization of degree distributions can be understood and done graphically using the visualization.