Data reduction for signals observed in colored noise

Authors:
Marius-Constantin Popescu;Onisifor Olaru;Nikos E. Mastorakis
Affiliations:
Faculty of Electromechanical and Environmental Engineering, University of Craiova, Romania;Faculty of Engineering, University of Constantin Brancusi, Romania;Technical University of Sofia, Bulgaria
Venue:
ICAI'09 Proceedings of the 10th WSEAS international conference on Automation & information
Year:
2009

Citing 2
Cited 3

On optimal dimension reduction for sensor array signal processing

Signal Processing
Optimal dimension reduction for array processing-generalized

IEEE Transactions on Signal Processing

Centralized control system for entry into buildings

ECC'10 Proceedings of the 4th conference on European computing conference
Important aspects of using geographical information system

WSEAS TRANSACTIONS on COMMUNICATIONS
Computerized access system for entry into enterprises

WSEAS Transactions on Information Science and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This article treats data reduction in array processing for the spatially colored noise case. The purpose is to reduce the computational complexity of the applied signal processing algorithms by mapping the data into a space of lower dimension by means of a linear transformation. We discuss ways to implement the transformation and show that it suffices to estimate the array covariance matrix instead of the noise covariance matrix in the design process of the optimal transformation. Computer simulations are given that illustrate the problem of interference from out-of-band-sources that result when a beamspace transformation is designed to focus on a particular sector.