• DocumentCode
    1113087
  • Title

    STFT computation using pruned FFT algorithms

  • Author

    Paneras, Demetrios E. ; Mani, Ramamurthy ; Nawab, S. Hamid

  • Author_Institution
    Dept. of Electr. Comput. & Syst. Eng., Boston Univ., MA, USA
  • Volume
    1
  • Issue
    4
  • fYear
    1994
  • fDate
    4/1/1994 12:00:00 AM
  • Firstpage
    61
  • Lastpage
    63
  • Abstract
    We show that the discrete short-time Fourier transform with temporal decimation (DSTFT-TD) can be evaluated using a variety of pruned FFT structures. A pruning method we refer to as overlap pruning can be used to eliminate computational overlap between consecutive FFT´s for computing slices of the DSTFT-TD. When only a limited frequency range of the DSTFT-TD is of interest, further computational savings can be achieved by combining overlap pruning with classical frequency pruning. We evaluate the complexity of the overlap and frequency pruned FFT´s for the DSTFT-TD in terms of the number of complex multiplications and additions required for the computation of each DSTFT-TD slice.<>
  • Keywords
    computational complexity; fast Fourier transforms; signal processing; DSTFT-TD; FFT algorithms; addition; classical frequency pruning; complexity; computational overlap elimination; discrete short-time Fourier transform; multiplication; overlap pruning; pruning method; temporal decimation; Computational efficiency; Discrete Fourier transforms; FET integrated circuits; Fourier transforms; Frequency; Military computing; Power engineering computing; Signal analysis; Signal processing; Systems engineering and theory;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.295333
  • Filename
    295333