Lossy Compression of Individual Sequences Revisited: Fundamental Limits of Finite-State Encoders

Article Properties
  • Language
    English
  • DOI (url)
    10.3390/e26020116
  • Publication Date
    2024/01/28
  • Journal
    Entropy
  • Indian UGC (journal)
  • Refrences
    39
  • Neri Merhav The Viterbi Faculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Technion City, Haifa 3200003, Israel
Abstract
Cite
Merhav, Neri. “Lossy Compression of Individual Sequences Revisited: Fundamental Limits of Finite-State Encoders”. Entropy, vol. 26, no. 2, 2024, p. 116, https://doi.org/10.3390/e26020116.
Merhav, N. (2024). Lossy Compression of Individual Sequences Revisited: Fundamental Limits of Finite-State Encoders. Entropy, 26(2), 116. https://doi.org/10.3390/e26020116
Merhav, Neri. “Lossy Compression of Individual Sequences Revisited: Fundamental Limits of Finite-State Encoders”. Entropy 26, no. 2 (2024): 116. https://doi.org/10.3390/e26020116.
1.
Merhav N. Lossy Compression of Individual Sequences Revisited: Fundamental Limits of Finite-State Encoders. Entropy. 2024;26(2):116.
Journal Categories
Science
Astronomy
Astrophysics
Science
Physics
Refrences
Title Journal Journal Categories Citations Publication Date
D-semifaithful codes that are universal over both memoryless sources and distortion measures 2023
Minimax rate-distortion 2023
Lossy compression with universal distortion 2023
Finite-state source-channel coding for individual source sequences with source side information at the decoder 2022
On universal d-semifaithful coding for memoryless sources with infinite alphabets IEEE Transactions on Information Theory
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2022
Refrences Analysis
Category Category Repetition
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks5
Science: Science (General): Cybernetics: Information theory4
Technology: Technology (General): Industrial engineering. Management engineering: Information technology4
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication4
Science: Mathematics: Instruments and machines: Electronic computers. Computer science4
Technology: Mechanical engineering and machinery2
Science: Mathematics2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
Technology: Engineering (General). Civil engineering (General)1
Science: Mathematics: Probabilities. Mathematical statistics1
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 5 is the most frequently represented among the references in this article. It primarily includes studies from IEEE Transactions on Information Theory and Automatica. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year