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Optimal finite state universal coding of individual sequences
Eado Meron
*
,
Meir Feder
*
Corresponding author for this work
School of Electrical Engineering
Tel Aviv University
Research output
:
Contribution to journal
›
Conference article
›
peer-review
4
Scopus citations
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Keyphrases
Finite State
100%
Individual Sequences
100%
Universal Coding
100%
Self-information Loss
100%
Squared Error
66%
Number of States
66%
Redundancy
33%
Finite number
33%
Loss Function
33%
Tight Bounds
33%
Time-invariant
33%
Performance Bounds
33%
Coding Problems
33%
Binary Sequences
33%
Universal Prediction
33%
K-state
33%
Coding Redundancy
33%
Comparison Class
33%
Arithmetic Coding
33%
Universal Decoder
33%
Mathematics
Self-Information
100%
Error Loss
66%
Square Error
66%
Upper Bound
33%
Probability Theory
33%
Asymptotics
33%
Finite Number
33%
Loss Function
33%
Binary Sequence
33%
Computer Science
Information Loss
100%
Performance Bound
33%
Binary Sequence
33%
Arithmetic Encoding
33%