• DocumentCode
    417442
  • Title

    Sampling schemes for sequential detection in colored noise

  • Author

    Niu, Ruixin ; Varshney, Pramod K.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., NY, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    17-21 May 2004
  • Abstract
    In this paper, four sampling schemes for sequential detection in colored noise are introduced. Two of them use uniform sampling procedures with high and low sampling rates, respectively. The other two employ groups of samples, which are separated by long intergroup gaps such that the intergroup correlations are negligible. Their performance, in terms of average termination time, is derived analytically. Under the assumption that all the schemes have the same power and sampling interval (x), their efficiencies are compared through analytical and numerical methods. Our results show that the scheme using group sampling with an optimal signal is the most efficient.
  • Keywords
    optimisation; sequential estimation; signal denoising; signal detection; signal sampling; colored noise; efficiencies; group sampling; intergroup correlations; intergroup gaps; optimal signal; performance; sampling rates; sequential detection; uniform sampling procedures; Artificial intelligence; Character generation; Colored noise; Detectors; Sampling methods; Sequential analysis; Signal sampling; Signal to noise ratio; Superluminescent diodes; Termination of employment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8484-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2004.1326358
  • Filename
    1326358