@inproceedings{f19de0e58e80457d8ef49bd3c5100573,
title = "Critical analysis of the eigenfilter method for the design of FIR filters and wideband beamformers",
abstract = "The least squares based eigenfilter method has been applied to the design of both finite impulse response (FIR) filters and wideband beamformers successfully. It involves calculating the resultant filter coefficients as the eigenvector of an appropriate Hermitian matrix, and offers lower complexity and less computation time with better numerical stability as compared to the standard least squares method. In this paper, we revisit the method and critically analyze the eigenfilter approach by revealing a serious performance issue in the passband of the designed FIR filter and the mainlobe of the wideband beamformer, which occurs due to a formulation problem. A solution is then proposed to mitigate this issue, and design examples for both FIR filters and wideband beamformers are provided to demonstrate the effectiveness of the proposed method.",
keywords = "eigenfilter, filter design, Least squares, wideband beamformer design",
author = "Ahsan Raza and Wei Liu",
note = "Publisher Copyright: {\textcopyright} 2016 Chinese Automation and Computing Society.; 22nd International Conference on Automation and Computing, ICAC 2016 ; Conference date: 07-09-2016 Through 08-09-2016",
year = "2016",
month = oct,
doi = "10.1109/IConAC.2016.7604970",
language = "English",
series = "2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "504--509",
editor = "Jing Wang and Zhijie Xu",
booktitle = "2016 22nd International Conference on Automation and Computing, ICAC 2016",
}