Title :
Comments on "On a novel unsupervised competitive learning algorithm for scalar quantization"
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
Abstract :
This note propose an alternative to a neural network for designing scaler quantizers proposed by Van Hulle and Martinez (ibid., vol.5, p.498-501, May 1994). It also points out that the performance measure used is of limited applicability.
Keywords :
neural nets; quantisation (signal); unsupervised learning; neural network; scalar quantization; unsupervised competitive learning algorithm; Algorithm design and analysis; Australia; Backpropagation algorithms; Entropy; Neural networks; Partitioning algorithms; Quantization; Scholarships; Statistics; Training data;
Journal_Title :
Neural Networks, IEEE Transactions on
