• DocumentCode
    2160427
  • Title

    Least squares approximation and polyphase decomposition for pipelining recursive filters

  • Author

    Gupta, Aditya ; Singer, Andrew ; Shanbhag, Naresh

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Illinois, Urbana, IL, USA
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    1661
  • Lastpage
    1664
  • Abstract
    Current techniques used in pipelining recursive filters require significant hardware complexity. These techniques attempt to preserve the exact frequency response of the original circuit while seeking to construct a pipelined architecture. We present a technique that relaxes the need to preserve the ex act frequency response and instead considers a least-squares formulation in conjunction with the pipelined architecture. The benefit of this design is that it reduces the complexity of the pipelined circuit immensely, while enabling a simple pipelined architecture based on a polyphase decomposition of the original filter.
  • Keywords
    computational complexity; frequency response; least squares approximations; pipeline processing; recursive filters; frequency response; hardware complexity; least square approximation; pipelined architecture; polyphase decomposition; recursive filter pipelining; Complexity theory; Computer architecture; Finite impulse response filter; Hardware; Least squares approximation; Pipeline processing; IIR; Prony´s method; pipelining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946818
  • Filename
    5946818