• DocumentCode
    3046380
  • Title

    A VLSI speech analysis chip set based on square root normalized ladder forms

  • Author

    Ahmed, H.M. ; Morf, M. ; Lee, D.T. ; Ang, P.H.

  • Author_Institution
    Stanford University, Stanford, CA
  • Volume
    6
  • fYear
    1981
  • fDate
    29677
  • Firstpage
    648
  • Lastpage
    653
  • Abstract
    A VLSI (very large scale integration) chip set is presented that is based on the square root normalized ladder recursions developed by Lee and Morf [1]. It is shown that the equations are amenable to implementation using the so-called CORDIC (Coordinate Rotation Digital Computer) algorithms (see eq. [2]) because the time and order updates are easily representable as orthogonal transformations or rotations [7, 12]. An integrated implementation which exploits the concurrency of the ladder recursions together with possible hardware, speed and area tradeoffs are presented. The general applicability of the chip set to other signal processing tasks is demonstrated by showing that the discrete Fourier transform (DFT) is naturally suited to the architecture.
  • Keywords
    Data mining; Equations; Filters; Information systems; Read only memory; Reflection; Signal processing algorithms; Speech analysis; Technological innovation; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '81.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1981.1171234
  • Filename
    1171234