• DocumentCode
    1619781
  • Title

    Optimization of generalized predictors

  • Author

    Koppinen, Konsta ; Yli-Hietanen, Jari ; Astola, Jaakko

  • Author_Institution
    Signal Process. Lab., Tampere Univ. of Technol., Finland
  • Volume
    1
  • fYear
    1997
  • Firstpage
    54
  • Abstract
    Polynomial FIR predictors are generalized to include also the prediction of sinusoidal signals. A general optimization method is presented for optimizing these predictors, which gives optimal FIR predictors with respect to the noise gain, the autocorrelation matrix of additive noise and frequency response as special cases
  • Keywords
    FIR filters; approximation theory; filtering theory; frequency response; matrix algebra; optimisation; polynomials; prediction theory; random noise; signal reconstruction; additive noise; autocorrelation matrix; frequency response; noise gain; optimal FIR predictors; optimization; polynomial FIR predictors; prediction of sinusoidal signals; Additive noise; Design methodology; Finite impulse response filter; Laboratories; Nonlinear filters; Optimization methods; Polynomials; Predictive models; Signal processing; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 1997. IMTC/97. Proceedings. Sensing, Processing, Networking., IEEE
  • Conference_Location
    Ottawa, Ont.
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-3747-6
  • Type

    conf

  • DOI
    10.1109/IMTC.1997.603916
  • Filename
    603916
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1619781