• DocumentCode
    88613
  • Title

    Faster Subband Signal Processing [dsp Tips&Tricks]

  • Author

    Sallberg, B.

  • Author_Institution
    Exaudio AB, Sweden
  • Volume
    30
  • Issue
    5
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    144
  • Lastpage
    150
  • Abstract
    Subband signal processing is an important tool in numerous applications such as acoustic echo cancellation, noise reduction, signal enhancement, adaptive beam forming, and signal separation, among other applications. Subband signal processing uses a filter bank to split each input signal into a set of frequency signals, each covering a fraction of the input signal bandwidth. Subband processing provides an efficient way to divide and conquer tedious problems by a set of parallel and smaller subband algorithms. In many cases, the subband processing is performed together with decimation, which reduces the dimensionality of the data in the subband algorithm. The focus in this article is on temporal subband processing, i.e., time-frequency transformation, although spatial subband processing may also gain from the discussion here.
  • Keywords
    adaptive filters; channel bank filters; signal processing; acoustic echo cancellation; adaptive beam forming; filter bank; frequency signals; input signal bandwidth; noise reduction; signal enhancement; signal separation; spatial subband processing; subband algorithm; subband signal processing; temporal subband processing; time-frequency transformation; Adaptive filters; Digital signal processing; Echo cancellation; Filter banks; Filtering algorithms; Least squares approximations; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2013.2265479
  • Filename
    6582738