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R. Venkataramanan

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Preprint Aug 2026

Lossy Compression via Sparse Regression Codes: Generalized Construction and Finite-length Bounds

This work generalizes the SPARC construction, and considers the class of \emph{additive orthogonal} regression codes, of which standard SPARCs are a special case, and derives nonasymptotic bounds on the squared-error distortion by tracking the evolution of the encoding residual across stages.

G. Reeves, R. Venkataramanan · 0 citations

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