• DocumentCode
    1231396
  • Title

    Calculating the FHT in hardware

  • Author

    Erickson, Adam C. ; Fagin, Barry S.

  • Author_Institution
    Sequoia Systems Inc., Marlboro, MA, USA
  • Volume
    40
  • Issue
    6
  • fYear
    1992
  • fDate
    6/1/1992 12:00:00 AM
  • Firstpage
    1341
  • Lastpage
    1353
  • Abstract
    A parallel, pipelined architecture for calculating the fast Hartley transform (FHT) is discussed. Hardware implementation of the FHT introduces two challenges: retrograde indexing and data scaling. A novel addressing scheme that permits the fast computation of FHT butterflies is proposed, and a hardware implementation of conditional block floating point scaling that reduces error due to data growth with little extra cost is described. Simulations reveal a processor capable of transforming a 1 K-point sequence in 170 μs using a 15.4 MHz clock
  • Keywords
    computerised signal processing; digital arithmetic; parallel architectures; pipeline processing; transforms; 15.4 MHz; 170 mus; FHT butterflies; addressing scheme; conditional block floating point scaling; data growth error; data scaling; digital arithmetic; fast Hartley transform; fast computation; hardware implementation; parallel pipelined architecture; retrograde indexing; Clocks; Computational modeling; Convolution; Costs; Data mining; Discrete transforms; Hardware; Helium; Indexing; Performance gain;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.139240
  • Filename
    139240