• DocumentCode
    2772640
  • Title

    A Non-Linear Neural D/A Converter for Direct Digital Frequency Synthesizers

  • Author

    Sadati, Nasser ; Sedighi, Behnam

  • Author_Institution
    Sharif Univ. of Technol., Tehran
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    2669
  • Lastpage
    2672
  • Abstract
    In this paper, a new non-linear D/A converter (DAC) is presented. This D/A converter uses neural network to approximate a sine function. It is targeted for direct digital frequency synthesizers in which the phase to sine amplitude conversion is usually performed using a ROM. Utilizing the proposed DAC, the power hungry ROM is removed. A design example is presented and the performance of the DAC is compared to the conventional method. The impact of non-idealities on the performance of the system is also investigated.
  • Keywords
    digital-analogue conversion; direct digital synthesis; neural nets; ROM; direct digital frequency synthesizers; neural network; nonlinear D/A converter; Communication switching; Digital-to-frequency converters; Energy consumption; Frequency synthesizers; Image converters; Instruments; Neural networks; Phase locked loops; Read only memory; Table lookup;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2006. IJCNN '06. International Joint Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9490-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2006.247147
  • Filename
    1716457