• DocumentCode
    1448536
  • Title

    Frame-theoretic analysis of oversampled filter banks

  • Author

    Bolcskei, Helmut ; Hlawatsch, Franz ; Feichtinger, Hans G.

  • Author_Institution
    Inst. fur Nachrichtentech., Vienna Univ. of Technol., Austria
  • Volume
    46
  • Issue
    12
  • fYear
    1998
  • fDate
    12/1/1998 12:00:00 AM
  • Firstpage
    3256
  • Lastpage
    3268
  • Abstract
    We provide a frame-theoretic analysis of oversampled finite impulse response (FIR) and infinite impulse response (FIR) uniform filter banks (FBs). Our analysis is based on a new relationship between the FBs polyphase matrices and the frame operator corresponding to an FB. For a given oversampled analysis FB, we present a parameterization of all synthesis FBs providing perfect reconstruction. We find necessary and sufficient conditions for an oversampled FB to provide a frame expansion. A new frame-theoretic procedure for the design of paraunitary FBs from given nonparaunitary FBs is formulated. We show that the frame bounds of an FB can be obtained by an eigen-analysis of the polyphase matrices. The relevance of the frame bounds as a characterization of important numerical properties of an FB is assessed by means of a stochastic sensitivity analysis. We consider special cases in which the calculation of the frame bounds and synthesis filters is simplified. Finally, simulation results are presented
  • Keywords
    FIR filters; IIR filters; channel bank filters; eigenvalues and eigenfunctions; mathematical operators; matrix algebra; signal reconstruction; signal sampling; stochastic processes; FIR uniform filter banks; eigen-analysis; frame bounds; frame expansion; frame operator; frame-theoretic analysis; infinite impulse response; necessary conditions; oversampled filter banks; perfect reconstruction; polyphase matrices; simulation results; stochastic sensitivity analysis; sufficient conditions; synthesis filters; Channel bank filters; Computational efficiency; Filter bank; Finite impulse response filter; IIR filters; Mathematics; Sensitivity analysis; Signal synthesis; Stochastic processes; Sufficient conditions;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.735301
  • Filename
    735301