By the same authors

Adaptive reduced-rank MMSE parameter estimation based on an adaptive diversity-combined decimation and interpolation scheme

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

Author(s)

Department/unit(s)

Publication details

Title of host publication2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol III, Pts 1-3, Proceedings
DatePublished - 2007
Pages1317-1320
Number of pages4
PublisherIEEE
Place of PublicationNEW YORK
Original languageEnglish
ISBN (Print)*****************

Abstract

This work proposes a low-complexity reduced-rank method for general parameter estimation using an adaptive decimation and interpolation scheme based on diversity-combining. The new approach employs an iterative procedure to jointly optimize the interpolation, decimation and estimation tasks for reduced-rank parameter estimation. We describe joint iterative minimum mean-squared error (MMSE) design filters, propose alternative decimation structures, including the optimal decimation scheme, and develop low-complexity adaptive algorithms for the proposed structure. Simulations for a block equalization application in doubly-selective channels show the remarkable potential of the proposed scheme.

    Research areas

  • adaptive estimation, reduced-rank techniques, iterative methods, WIENER FILTER, CHANNELS, SIGNALS

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations