Title: Adaptive Compandor Design Using the Boundary Adaptation Rule
Authors: Van Hulle, Marc
Martinez, D. #
Issue Date: 1994
Host Document: Proceedings pages:3597-3600
Conference: IEEE World Congress on Computational Intelligence location:Orlando, FA date:27 Jun - 2 Jul 1994
Abstract: In our previous paper (1993), we introduced a novel unsupervised learning rule for scalar quantization, called the boundary adaptation rule (BAR). Adaptive quantizers were built using the maximization of information-theoretic entropy as a design criterion. In this paper, we show that BAR can also be used for designing quantizers by minimizing the mean square error distortion due to quantization. For this purpose, the adaptive histogram with equal bin counts assessed by BAR is used as a density estimator to build an optimal compandor function
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Research Group Neurophysiology
# (joint) last author

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