Order adaptive Golomb rice coding for high variability sources

This paper presents a new perspective on the adaptive Golomb Rice codes that is especially suitable for sources having a highly variable distribution in time. Instead of adapting the Golomb Rice parameter, the encoder adapts the order of the symbols based on a count of occurrences measure. The proposed order adaptive Golomb Rice method is compared against different versions of adaptive arithmetic encoder at the encoding of real audio data stereo parameters. The proposed method shows very fast adaptability in the presence of rapidly changing data with respect to the initial data statistics.