• DocumentCode
    455058
  • Title

    Quantization and Sampling of Not Necessarily Band-Limited Signals

  • Author

    Derpich, Milan S. ; Quevedo, Daniel E. ; Goodwin, Graham C. ; Feuer, Arie

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Newcastle Univ., NSW
  • Volume
    3
  • fYear
    2006
  • fDate
    14-19 May 2006
  • Abstract
    This paper presents novel results on the joint problem of sampling and quantization of non bandlimited signals. Existing literature typically focuses either on sampling in the absence of quantization, or, conversely, studies quantization for already sampled signals. Our emphasis here is on the issues that arise al the intersection of these two design problems. We argue that the joint problem can be formulated and solved to any desired level of accuracy, using moving horizon optimization methods. We present several examples which show that consideration of the combined sampling and quantization problem gives important performance gains, relative to strategies which don´t specifically address the interaction between these two problems
  • Keywords
    bandlimited signals; optimisation; quantisation (signal); signal sampling; band-limited signals quantization; band-limited signals sampling; moving horizon optimization methods; Bit rate; Computer science; Design optimization; Digital signal processing; Filters; Optimization methods; Performance gain; Quantization; Sampling methods; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
  • Conference_Location
    Toulouse
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0469-X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2006.1660674
  • Filename
    1660674