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.