Adaptive Stream-based Entropy (ASE) Coding

The LCA-DLT compression module cannot compress a symbol to a bit string shorter than the original symbol dynamically. Even if a simple data pattern (for example, all 0s) is entered, it cannot be compressed to a unit smaller than the symbol. This weakness has been a problem from the beginning of research on stream data compression. The problem has been addressing with the development of LCA-DLT. Finally, we have developed a new method ASE Coding (Adaptive Stream-based Entropy Coding) to solve the problem. Read More

Research articles in Journals and Magazines

  1. Shinichi Yamagiwa, Yuma Ichinomiya. Stream-Based Visually Lossless Data Compression Applying Variable Bit-Length ADPCM Encoding, Sensors, 4602, (2021-07-05), DOI:10.3390/s21134602
  2. Shinichi Yamagiwa, Koichi Marumo, Suzukaze Kuwabara. Exception Handling Method Based on Event from Look-Up Table Applying Stream-Based Lossless Data Compression, Electronics, 240, (2021-01-21), DOI:10.3390/electronics10030240
  3. Shinichi Yamagiwa, Suzukaze Kuwabara. Autonomous Parameter Adjustment Method for Lossless Data Compression on Adaptive Stream-Based Entropy Coding, IEEE Access, 186890--186903, (2020-10-08), DOI:10.1109/access.2020.3029705

Conference Proceedings

  1. Shinichi Yamagiwa, Eisaku Hayakawa, Koichi Marumo. Adaptive entropy coding method for stream-based lossless data compression, Proceedings of the 17th ACM International Conference on Computing Frontiers, 265–268, (2020-05-11), DOI:10.1145/3387902.3394037

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