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13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of York

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Output 9 of 85 in the submission

Article title

Adaptive Reduced-Rank Processing Based on Joint and Iterative Interpolation, Decimation, and Filtering

Type

D - Journal article

DOI

10.1109/TSP.2009.2018641

Title of journal

IEEE Transactions on Signal Processing

Article number

Volume number

Issue number

First page of article

2503

ISSN of journal

1053-587X

Year of publication

2009

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4803749

Number of additional authors

Additional information

This paper pioneers a method that realises and advances adaptive algorithms for large systems. In collaboration with CETUC/PUC Rio de Janeiro, Brazil, algorithms that perform dimensionality reduction of data to accelerate signal-processing tasks, and outperform the best known schemes are developed. The work resulted in funded PhD studentships with Roke Manor Research (steve.wales@roke.co.uk) and Bear Communications Ltd (Guo Zhiqiang) and provided the foundations for an EPSRC funded project (EP/H011544/1) on low-complexity beamforming algorithms for large sensor arrays.

Interdisciplinary

Cross-referral requested

Research group

A - Communications and Signal Processing

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract