A simple derivation of Lloyd's classical result for the optimum scalar
IEEE Transactions on Information Theory
Vector quantization and signal compression
Vector quantization and signal compression
On the support of MSE-optimal, fixed-rate, scalar quantizers
IEEE Transactions on Information Theory
On the support of fixed-rate minimum mean-squared error scalar quantizers for a Laplacian source
IEEE Transactions on Information Theory
Forward Adaptive Logarithmic Quantizer with New Lossless Coding Method for Laplacian Source
Wireless Personal Communications: An International Journal
A Spatial Regularization Approach for Vector Quantization
Journal of Mathematical Imaging and Vision
An adaptive waveform coding algorithm and its application in speech coding
Digital Signal Processing
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In this paper an exact and complete analysis of the Lloyd-Max's algorithm and its initialization is carried out. An effective method for initialization of Lloyd-Max's algorithm of optimal scalar quantization for Laplacian source is proposed. The proposed method is very simple method of making an intelligent guess of the starting points for the iterative Lloyd-Max's algorithm. Namely, the initial values for the iterative Lloyd-Max's algorithm can be determined by the values of compandor's parameters. It is demonstrated that by following that logic the proposed method provides a rapid convergence of the Lloyd-Max's algorithm.