Tracking the best level set in a level-crossing analog-to-digital converter

Suleyman S. Kozat, Karen M. Guan, Andrew C. Singer

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we investigate level-crossing (LC) analog-to-digital converters (ADC)s in a competitive algorithm framework. In particular, we study how the level sets of an LC ADC should be selected in order to track the dynamical changes in the analog signal for effective sampling. We introduce a sequential LC sampling algorithm asymptotically achieving the performance of the best LC sampling method which can choose both its LC sampling levels (from a large class of possible level sets) and the intervals (from the continuum of all possible intervals) that these levels are used based on observing the whole analog signal in hindsight. The results we introduce are guaranteed to hold in an individual signal manner without any stochastic assumptions on the underlying signal.

Original languageEnglish (US)
Pages (from-to)478-487
Number of pages10
JournalDigital Signal Processing: A Review Journal
Volume23
Issue number1
DOIs
StatePublished - Jan 2013

Keywords

  • Adaptive level-crossing
  • Analog-to-digital conversion
  • Level-crossing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing
  • Applied Mathematics
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Statistics, Probability and Uncertainty
  • Computational Theory and Mathematics

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