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The context-tree weighting method: basic properties
F.M.J. Willems, Y.M. Shtarkov, T.J. Tjalkens, 1995. IEEE Transactions on Information Theory.
Introduces context-tree weighting, a universal compression method for binary sources that efficiently mixes over all bounded-memory tree models, with a bound on its redundancy.
What it's used for here
The bioinformatics and signal survey lists it among the references on compression and entropy estimation.
Cited by on this site 1 record
1 methods surveys
SRCSignal processing
Cite it
Willems, F., Shtarkov, Y., & Tjalkens, T. (1995). The context-tree weighting method: basic properties. IEEE Transactions on Information Theory. https://doi.org/10.1109/18.382012
@article{willems1995context,
author = {Willems, F.M.J. and Shtarkov, Y.M. and Tjalkens, T.J.},
title = {The context-tree weighting method: basic properties},
journal = {IEEE Transactions on Information Theory},
year = {1995},
doi = {10.1109/18.382012},
url = {https://doi.org/10.1109/18.382012}
}TY - JOUR TI - The context-tree weighting method: basic properties AU - Willems, F.M.J. AU - Shtarkov, Y.M. AU - Tjalkens, T.J. PY - 1995 JO - IEEE Transactions on Information Theory DO - 10.1109/18.382012 UR - https://doi.org/10.1109/18.382012 ER -
Willems, F.M.J. et al.. “The context-tree weighting method: basic properties.” IEEE Transactions on Information Theory (1995). https://doi.org/10.1109/18.382012.