• DocumentCode
    2386107
  • Title

    A zero-delay sequential quantizer for individual sequences

  • Author

    Linder, Tamás ; Lugosi, Gábor

  • Author_Institution
    Dept. of Math. & Stat., Queen´´s Univ., Kingston, Ont., Canada
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    125
  • Abstract
    We consider adaptive sequential lossy coding of bounded individual sequences. The encoder and the decoder are connected via a noiseless channel of capacity R and both are assumed to have zero delay. No probabilistic assumptions are made on how the sequence to be encoded is generated. For any bounded sequence of length n, the distortion redundancy is defined as the normalized cumulative squared distortion of the sequential scheme minus the normalized cumulative squared distortion of the best scalar quantizer of rate R which is matched to this particular sequence. We demonstrate the existence of a zero-delay sequential scheme which uses common randomization in the encoder and the decoder such that the normalized maximum distortion redundancy converges to zero at a rate n-1/5logn
  • Keywords
    channel capacity; decoding; delays; quantisation (signal); sequences; source coding; adaptive sequential lossy coding; bounded individual sequences; channel capacity; decoder; distortion redundancy; encoder; noiseless channel; normalized cumulative squared distortion; normalized maximum distortion redundancy; randomized sequential source code; scalar quantizer; sequence length; zero-delay sequential quantizer; Block codes; Channel capacity; Councils; Decoding; Delay; Mathematics; Random variables; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2000. Proceedings. IEEE International Symposium on
  • Conference_Location
    Sorrento
  • Print_ISBN
    0-7803-5857-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2000.866417
  • Filename
    866417