• DocumentCode
    2176290
  • Title

    Sigma delta analog to digital converters with adaptive quantization

  • Author

    Ramesh, M.C. ; Chao, K.S.

  • Author_Institution
    Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    3-6 Aug 1997
  • Firstpage
    22
  • Abstract
    The signal to noise ratio (SNR) of conventional sigma delta analog to digital converter (ΣΔADC) reduces with input signal strength. The existing concept of adaptive quantization is applied to the design of ΣΔADCs to improve SNR in situations involving nonstationary signals with a high dynamic range. An adaptive algorithm that is suited particularly well to analog to digital converters and that can be implemented using little additional circuitry is proposed. Simulation results indicate that SNR can be made nearly independent of the signal strength, as expected
  • Keywords
    adaptive signal processing; quantisation (signal); sigma-delta modulation; SNR; adaptive algorithm; adaptive quantization; analog to digital converters; high dynamic range; nonstationary signals; sigma delta ADC; Adaptive systems; Analog-digital conversion; Delta modulation; Delta-sigma modulation; Digital filters; Dynamic range; Pulse modulation; Quantization; Signal design; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
  • Conference_Location
    Sacramento, CA
  • Print_ISBN
    0-7803-3694-1
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1997.666024
  • Filename
    666024