• DocumentCode
    2223131
  • Title

    H2 Optimal Signal Predictive Quantization in Oversampled FBs

  • Author

    Li, Shenpeng ; Zhang, Jingxin ; Zhang, Cishen

  • Author_Institution
    Monash Univ., Melbourne
  • fYear
    2007
  • fDate
    1-3 Oct. 2007
  • Firstpage
    994
  • Lastpage
    999
  • Abstract
    This paper is concerned with the design of signal predictor in oversampled signal predictive subband coding. Spectral analysis of the prediction error system is used to derive an H2 optimization formulation of the design problem, and an LMI based method is obtained to design the H2 optimal signal predictor that minimizes the variance of quantizer input signals. Simulation examples are presented to demonstrate the obtained design method.
  • Keywords
    Hinfin control; Hinfin optimisation; codes; linear matrix inequalities; quantisation (signal); signal sampling; spectral analysis; transient response; H2 optimal signal predictive quantization; LMI; impulse response; optimization; oversampled FB; spectral analysis; subband coding; Adaptive filters; Control systems; Degradation; Fading; Information filtering; Information filters; Nonlinear equations; Nonlinear systems; Stability analysis; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 2007. CCA 2007. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-0442-1
  • Electronic_ISBN
    978-1-4244-0443-8
  • Type

    conf

  • DOI
    10.1109/CCA.2007.4389363
  • Filename
    4389363
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2223131