Asymptotic distribution of the errors in scalar and vector quantizers

DOI10.1109/18.485715zbMath0858.94010OpenAlexW1993210259MaRDI QIDQ4885675

David L. Neuhoff, Don H. Lee

Publication date: 25 March 1997

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

Full work available at URL: https://semanticscholar.org/paper/ad779f1ed86dc540fa795a18ad84c5a32214315f

zbMATH Keywords

vector quantizationasymptotic quantizationhigh-rate quantizationerror density

Mathematics Subject Classification ID

Source coding (94A29)

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Density estimation with stagewise optimization of the empirical risk ⋮ A Note on Nonparametric Regression with β-Mixing Sequences ⋮ Stochastic structure of asymptotic quantization errors ⋮ Bandwidth Selection for Local Linear Regression Smoothers ⋮ Nonasymptotic bounds on the \(L_{2}\) error of neural network regression estimates ⋮ Nonparametric regression function estimation using interaction least squares splines and complexity regularization. ⋮ FAST RATES FOR ESTIMATION ERROR AND ORACLE INEQUALITIES FOR MODEL SELECTION ⋮ Convergence analysis of convex incremental neural networks ⋮ On universal estimators in learning theory

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