• DocumentCode
    1314667
  • Title

    Optimal sampling schemes for the Gaussian hypothesis testing problem

  • Author

    Bahr, Randall K. ; Bucklew, James A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
  • Volume
    38
  • Issue
    10
  • fYear
    1990
  • fDate
    10/1/1990 12:00:00 AM
  • Firstpage
    1677
  • Lastpage
    1686
  • Abstract
    A class of sampling designs for a continuous-time Gaussian hypothesis testing problem is discussed. This problem arises frequently in systems where it is necessary to sample the continuous time signal to produce discrete time data for computer processing. A class of periodic nonuniform sampling designs which optimizes performance under an asymptotic probability of error criterion is investigated. A design algorithm for the optimal sampler is presented
  • Keywords
    computerised signal processing; error statistics; random noise; Gaussian hypothesis testing problem; asymptotic error probability; computer processing; continuous time signal; design algorithm; discrete time data; periodic nonuniform sampling designs; Algorithm design and analysis; Computer errors; Detectors; Nonuniform sampling; Probability; Random processes; Sampling methods; Signal processing; Tail; Testing;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.60099
  • Filename
    60099
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1314667