Finite-state Compression

Finite-State Compression is a lossless data compression method that operates by modeling the input source as a finite-state machine, where the compression and decompression processes are governed by a finite set of states and transition rules that depend only on the current state and input symbol, distinguishing it from other compression methods by its bounded memory and deterministic state evolution.

25

Publications

5K

Citations

43

Authors

23

Institutions

Publications per year

2017–2026

4

Authors

43

  1. JZ
    J. Ziv

    Technion – Israel Institute of Technology, Israel

    3 publications · 3.8K citations

    3

    h-index

  2. MF
    Meir Feder

    Tel Aviv University, Israel

    3 publications · 454 citations

    3

    h-index

  3. AL
    A. Lempel

    Technion – Israel Institute of Technology, Israel

    2 publications · 3.7K citations

    2

    h-index

  4. ZB
    Zahra Baghali Khanian

    Institució Catalana de Recerca i Estudis Avançats, Spain

    1 publications · 18 citations

    1

    h-index

  5. DD
    David Doty

    California Institute of Technology, United States

    1 publications · 12 citations

    1

    h-index

1–5 of 43

Venues

  1. IEEE Transactions on Information Theory

    8 publications · 4.5K citations

    8

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 24 citations

    2

    h-index

  3. The Journal of Chemical Physics

    1 publications · 30 citations

    1

    h-index

  4. 1

    h-index

  5. Computers & Graphics

    1 publications · 34 citations

    1

    h-index

1–5