%0 Journal Article
%T DETERMINING COMPRESSION FACTOR OF QUASI-LOGARITHMIC QUANTIZERS FOR LAPLACIAN SOURCE IN NARROW DYNAMIC VARIANCE RANGE
%A Aleksandra Jovanovi£¿
%A Milan Tan£¿i£¿
%A Stefan Tomi£¿
%A Zoran Peri£¿
%J -
%D 2016
%X In this paper, it has been performed an optimization of compression factor of quasi-logarithmic quantizer for the case when a signal with Laplacian probability density function is brought on the input of quantizer. There has been proposed a new two-step method for determination of optimal compression factor in terms of the mean-square error (MSE) distortion. Two different manners for compression factor optimization have also been considered, by using the Muller¡¯s iterative method and the new two-step method. Emphasis is placed on locating slightly less accurate but much simpler solution, by comparing the Muller¡¯s iterative method and the new two-step method. Analysis of procedures is described in detail
%K companding quantizer
%K Laplacian probability density function
%K Muller¡¯s iterative method
%K new two-step optimization method
%U http://casopisi.junis.ni.ac.rs/index.php/FUAutContRob/article/view/1874