• DocumentCode
    1618894
  • Title

    Symbolic simplification of digital signal processing software

  • Author

    Heck, L.P. ; Schwartz, D.A. ; Mersereau, R.M. ; McClellan, J.H.

  • Author_Institution
    Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    1989
  • Firstpage
    284
  • Abstract
    The problem of automatically designing efficient implementations of digital signal processing (DSP) algorithms based on application-specific information is considered. A rule-based code simplification system is presented that is capable of performing code simplifications on a broad class of programs. Several types of symbolic processing rules and their uses in the problem of code pruning are discussed. The design of efficient radix-2 FFT programs is presented as an example, and it is shown that considerable operational savings can be obtained if certain properties of the input data are known
  • Keywords
    computerised signal processing; program processors; DSP algorithm implementations; application-specific information; code pruning; computational speed improvement; digital signal processing software; extended flow graph; program processor; radix-2 FFT programs; rule driver; rule-based code simplification system; symbolic processing rules; Application software; Computational complexity; Computer applications; Contracts; Digital signal processing; Fast Fourier transforms; Flexible printed circuits; Hardware; Signal design; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1989., IEEE International Symposium on
  • Conference_Location
    Portland, OR
  • Type

    conf

  • DOI
    10.1109/ISCAS.1989.100346
  • Filename
    100346