Facta Universitatis, Series: Automatic Control and Robotics, Vol 15, No. 3 (2016)

DETERMINING COMPRESSION FACTOR OF QUASI-LOGARITHMIC QUANTIZERS FOR LAPLACIAN SOURCE IN NARROW DYNAMIC VARIANCE RANGE

Milan Tančić, Zoran Perić, Aleksandra Jovanović, Stefan Tomić

Abstract


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.