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Title: Fast Adaptive Scalar Quantization for Minimal Mean Squared Error Distortion in the high resolution case: Extension of the Boundary Adaptation Rule
Authors: Van Hulle, Marc #
Issue Date: 1994
Host Document: Proceedings pages:4365-4369
Conference: IEEE World Congress on Computational Intelligence location:Orlando, FA date:27 Jun - 2 Jul 1994
Abstract: Recently the author (1993) introduced a new unsupervised competitive learning rule for adaptive scalar quantization. The rule, called boundary adaptation rule (BAR), directly adapts the boundary points demarcating the quantization intervals and minimizes the mean absolute error distortion. In this article the author extends the BAR concept towards the mean squared error distortion minimization in a high resolution case. The performance of this extended rule is shown for stationary as well as non-stationary input probability density functions, such as speech- and image signals. The rule yields near-optimal performance
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Research Group Neurophysiology
# (joint) last author

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