Least Squares Superposition Codes of Moderate Dictionary Size Are Reliable at Rates up to Capacity

DOI10.1109/TIT.2012.2184847zbMath1365.94019MaRDI QIDQ5271929

Antony Joseph, Andrew R. Barron

Publication date: 12 July 2017

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Channel models (including quantum) in information and communication theory (94A40) Communication theory (94A05)

Related Items (4)

Sparse high-dimensional linear regression. Estimating squared error and a phase transition ⋮ Special feature: Information theory and statistics ⋮ An improved analysis of least squares superposition codes with Bernoulli dictionary ⋮ The all-or-nothing phenomenon in sparse linear regression

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