Look-ahead based sigma-delta modulation

Author(s)

Bibliographic Information

Look-ahead based sigma-delta modulation

Erwin Janssen, Arthur van Roermund

(Analog circuits and signal processing series / consulting editor, Mohammed Ismail)

Springer, c2011

  • hbk.

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Note

Includes bibliographical references

Description and Table of Contents

Description

The aim of this book is to expand and improve upon the existing knowledge on discrete-time 1-bit look-ahead sigma-delta modulation in general, and to come to a solution for the above mentioned specific issues arising from 1-bit sigma-delta modulation for SA-CD. In order to achieve this objective an analysis is made of the possibilities for improving the performance of digital noise-shaping look-ahead solutions. On the basis of the insights obtained from the analysis, several novel generic 1-bit look-ahead solutions that improve upon the state-of-the-art will be derived and their performance will be evaluated and compared. Finally, all the insights are combined with the knowledge of the SA-CD lossless data compression algorithm to come to a specifically for SA-CD optimized look-ahead design.

Table of Contents

1. Introduction.- 2. Basics of sigma-delta modulation.- 3. Transient SDM performance.- 4. Noise-shaping quantizer model.- 5. Look-ahead sigma-delta modulation.- 6. Reducing the complexity of LA DD conversion.- 7. Trellis sigma-delta modulation.- 8. Efficient Trellis sigma-delta modulation.- 9. Pruned Tree sigma-delta modulation.- 10. Pruned Tree sigma-delta modulation for SA-CD.- 11. Comparison of look-ahead SDM techniques.- 12. Maximum SNR analysis.- 13. General Conclusions.- Appendix A: FFT calculations - coherent and power averaging.- Appendix B: Descriptions of the used Sigma-Delta Modulators.

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Details

  • NCID
    BB06873638
  • ISBN
    • 9789400713864
  • Country Code
    ne
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Dordrecht
  • Pages/Volumes
    xii, 247 p.
  • Size
    24 cm
  • Parent Bibliography ID
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