Signal-dependent variable-resolution quantization for continuous-time digital signal processing

@article{Kurchuk2009SignaldependentVQ,
  title={Signal-dependent variable-resolution quantization for continuous-time digital signal processing},
  author={Mariya Kurchuk and Yannis P. Tsividis},
  journal={2009 IEEE International Symposium on Circuits and Systems},
  year={2009},
  pages={1109-1112}
}
  • Mariya Kurchuk, Yannis P. Tsividis
  • Published 2009
  • Computer Science
  • 2009 IEEE International Symposium on Circuits and Systems
  • A variable-bit quantization scheme is proposed for use in the context of continuous-time digital signal processing, with resolution depended on signal speed. It is shown that a decrease in resolution for fast inputs does not corrupt the inband spectrum, while leading to power savings. Analysis and extensive simulations are provided. 
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    References

    Publications referenced by this paper.
    SHOWING 1-7 OF 7 REFERENCES
    Continuous-time digital signal processing
    • 85
    Continuous-time digital signal processors
    • 37
    Spectral spurs due to quantization in Nyquist ADCs
    • 52
    • Highly Influential
    • PDF
    Communication Theory, John
    • 2001
    Continuous -time digital signal processors: Analysis and implementation
    • 24