Delta-operator based signal processing: Fast algorithms for rapidly sampled data

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Abstract

High sampling densities often lead to numerical ill-conditioning in statistical signal processing algorithms. Reformulation of signal or system dynamics via a delta, or divided-difference, dynamical operator can provide a framework within which the amelioration of such ill-conditioning can be treated on a formal and unified basis. A number of basic signal-processing problems have been studied in his context over the past decade, and these are reviewed here.

Original languageEnglish (US)
Pages (from-to)872-877
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume1
StatePublished - Dec 1 1997
EventProceedings of the 1997 36th IEEE Conference on Decision and Control. Part 1 (of 5) - San Diego, CA, USA
Duration: Dec 10 1997Dec 12 1997

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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