In this paper the approximation of the optimal compressor function using the first-degree spline functions and quadratic spline functions is done. Coefficients on which we form approximative spline functions are determined by solving equation systems that are formed from treshold conditions. For Gaussian source at the input of the quantizer, using the obtained approximate spline functions a com...

Pruned tree-structured scalar quantizers are a form of non-uniform scalar quantizer that are named due to being designed via pruning a tree-structured scalar quantizer [1]. If designed via pruning a uniform tree-structured scalar quantizer, such a quantizer may be mapped to a piecewise linear compandor. An algorithm has been developed for mapping a piecewise linear compandor onto a a tree-struc...

The constraints on the quantizer model are usually related to how complex the model can be designed and implemented. For the given bit rate, it is desirable to provide the highest possible signal to quantization noise ratio (SQNR) with reasonable complexity of a quantizer model. In order to avoid the influence of compressor function nonlinearity and the difficulties appearing in implementing an...

This paper proposes a novel coding algorithm based on loss compression using scalar quantization switching technique. The algorithm of switching is performed by the estimating input variance and further coding with Nonuniform Switched Scalar Compandor (NSSC). An accurate estimation of the input signal variance is needed when finding the best compressor function for a compandor implementation. I...