• DocumentCode
    2917066
  • Title

    Algorithm-based low-power transform coding architectures

  • Author

    Wu, An-Yeu ; Liu, K. J Ray

  • Author_Institution
    Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
  • Volume
    5
  • fYear
    1995
  • fDate
    9-12 May 1995
  • Firstpage
    3267
  • Abstract
    In most low-power VLSI designs, the supply voltage is usually reduced to lower the total power consumption. However, the device speed will be degraded as the supply voltage goes down. In this paper, we propose new algorithmic-level techniques for compensating the increased delays based on the multirate approach. We will show how to compute most of the discrete sinusoidal transforms through the decimated low-speed sequences with reasonable linear hardware overhead. For the case where the decimation factor is equal to two, the overall power consumption can be reduced to about one-third of the original design. The resulting multirate low-power architectures are regular, modular, and free of global communications. Such properties are very suitable for VLSI implementations. The proposed architectures can also be applied to very high-speed block transforms where only low-speed operators are required
  • Keywords
    CMOS digital integrated circuits; VLSI; delays; digital signal processing chips; discrete cosine transforms; integrated circuit design; network topology; parallel architectures; transform coding; CMOS; algorithm-based low-power transform coding architectures; decimated low-speed sequences; delays; device speed; discrete sinusoidal transforms; linear hardware overhead; low-power VLSI designs; low-speed operators; multirate approach; signal processing; supply voltage; total power consumption; very high-speed block transforms; Computer architecture; Degradation; Delay; Discrete transforms; Energy consumption; Global communication; Hardware; Transform coding; Very large scale integration; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-2431-5
  • Type

    conf

  • DOI
    10.1109/ICASSP.1995.479582
  • Filename
    479582