Lagrangian empirical design of variable-rate vector quantizers: consistency and convergence rates

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Lagrangian empirical design of variable-rate vector quantizers: consistency and convergence rates

The Lagrangian formulation of variable-rate vector quantization is known to yield useful necessary conditions for quantizer optimality and generalized Lloyd algorithms for quantizer design. In this correspondence, the Lagrangian formulation is demonstrated to provide a convenient framework for analyzing the empirical design of variable-rate vector quantizers. In particular, the consistency of e...

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ژورنال

عنوان ژورنال: IEEE Transactions on Information Theory

سال: 2002

ISSN: 0018-9448

DOI: 10.1109/tit.2002.804114