Adaptive entropy coding method for stream-based lossless data compression

High performance lossless data compression is an emerged technology that enhances fast and effective data processing such as for communication and for storage applications. The recent devices generate continuous data flow at high rate, that is very fast stream data. Therefore, an elegant hardware-based compression technology is demanded. This paper proposes a lossless data compression called ASE coding. It encodes stream data by applying entropy coding approach. The encoding mechanism works as a lossless data compression. ASE coding instantly assigns the fewest bits to the corresponding compressed data according to the number of occupied entries in a look-up table. This paper shows the performance evaluations to promise ASE coding adaptively shrinks stream data and works on small hardware resources without stalling or buffering.