%0 Journal Article
%T Uma alternativa de acelera£¿£¿o do algoritmo fuzzy K-Means aplicado ¨¤ quantiza£¿£¿o vetorial
%A Madeiro
%A F.
%A Galv£¿o
%A R.R.A.
%A Ferreira
%A F.A.B.S.
%A Cunha
%A D.C.
%J TEMA (S£¿o Carlos)
%D 2012
%I Scientific Electronic Library Online
%R 10.5540/tema.2012.013.02.0193
%X signal compression, digital watermarking and pattern recognition are examples of applications of vector quantization (vq). a relevant problem concerning vq is codebook design. in this paper, an alternative is presented for accelerating the fuzzy k-it means algorithm applied to codebook design. simulation results involving vq of images and gauss-markov signals show that the proposed method leads to an increase of convergence speed (reduction of the number of iterations) of the fuzzy k-it means algorithm without sacrificing the quality of the designed codebooks.
%K vector quantization
%K fuzzy k-means
%K image coding.
%U http://www.scielo.br/scielo.php?script=sci_abstract&pid=S2179-84512012000200009&lng=en&nrm=iso&tlng=en