Adaptivity in multiple-access communications

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Abstract

Adaptive signal processing problems that arise in multiple-access communication applications are reviewed. In particular, adaptive filtering techniques for the mitigation of both multiple-access and narrowband interferences are considered, as well as adaptive techniques based on parameter estimation. A broad spectrum of methodologies that have been brought to bear on these problems is described, including adaptive linear filtering, neural networks, stochastic approximation, the EM algorithm, and nonlinear filtering.

Original languageEnglish (US)
Pages (from-to)835-840
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume1
StatePublished - Dec 1 1995
EventProceedings of the 1995 34th IEEE Conference on Decision and Control. Part 1 (of 4) - New Orleans, LA, USA
Duration: Dec 13 1995Dec 15 1995

All Science Journal Classification (ASJC) codes

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

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