@inproceedings{cf71cbe817054a60b523cf44fe07a2b5,
title = "Computationally efficient 2-D adaptive filters based on essentially separable FIR structures",
abstract = "Adaptive filters are used successfully in sonar, radar, communications, seismology and biomedical engineering applications [1]. This paper presents a theory of how computational complexity of 2-D adaptive FIR filters can be reduced by using essentially separable 2-D FIR filter structures. Results illustrate that essentially separable filters are more computationally efficient than conventional 2-D adaptive filters. The trade-off is the error introduced by approximating the 2-D filter as a parallel bank of separable sub-filters. Experimental results show that the coefficients of a 2-D non-separable filter are more accurately identified as the number of separable sections increases in the essentially separable structure.",
author = "Y. Jiajing and N. Yardi and Jenkins, {W. K.}",
year = "2016",
month = jul,
day = "2",
doi = "10.1109/MWSCAS.2016.7869987",
language = "English (US)",
series = "Midwest Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016",
address = "United States",
note = "59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 ; Conference date: 16-10-2016 Through 19-10-2016",
}