Complexity-constrained LS estimation for sparse systems

Published

Conference Paper

In an increasing number of applications the complexity of so-called fast RLS algorithms is prohibitive for real-time RLS estimation. One notable example is the adaptive equalization problem for intersymbol interference channels, where the number of equalizer taps grows linearly with the data rate. Due to the substantial memory in some ISI channels (for example the shallow-water acoustic telemetry channel) the uncoded data rate of real-time telemetry is limited not by the channel distortion or background noise, but by the complexity of the tap update algorithms. © 1994 IEEE.

Full Text

Duke Authors

Cited Authors

  • Kocic, M; Brady, D

Published Date

  • December 1, 1994

Published In

Start / End Page

  • 116 -

International Standard Serial Number (ISSN)

  • 2157-8095

International Standard Book Number 10 (ISBN-10)

  • 0780320158

International Standard Book Number 13 (ISBN-13)

  • 9780780320154

Digital Object Identifier (DOI)

  • 10.1109/ISIT.1994.394872

Citation Source

  • Scopus