August 28, 2017

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.

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5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

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Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

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