Robust multichannel sampling

Ha T. Nguyen, Minh N Do

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A conventional wisdom is that a bandlimited signal can be sampled at twice its maximum frequency to prevent any loss of information. For signals having high frequency components, sampling them requires fast analog-to-digital converters (ADC) that are difficult to design without increasing their cost and noise. In this paper, we show that high-resolution samples of any signal, bandlimited or unbandlimited, can be accurately approximated using multiple sequences of low-resolution samples taken from the same analog signal, probably with fractional delays, using slow ADCs. The approximation is enabled by designing a set of synthesis filters, without any knowledge of the signals to be sampled, to minimize an induced error system in the minimax sense. The approximation performance is guaranteed to be robust even when using estimates of the system parameters (such as antialiasing filters and fractional delays). We present experiments to confirm the potential of our approach.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages653-656
Number of pages4
DOIs
StatePublished - Dec 1 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: Oct 12 2008Oct 15 2008

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2008 IEEE International Conference on Image Processing, ICIP 2008
CountryUnited States
CitySan Diego, CA
Period10/12/0810/15/08

Keywords

  • Filter design
  • H optimization
  • Hybrid filter bank
  • Model-matching
  • Multichannel sampling
  • Sampled-data control

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Nguyen, H. T., & Do, M. N. (2008). Robust multichannel sampling. In 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings (pp. 653-656). [4711839] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2008.4711839