System identification at an extremely low SNR using energy density in DCT domain

Abstract

This paper presents a new approach for system identification at an extremely low signal-to-noise ratio (SNR) like -10 dB. At such a low SNR, many of the system peaks in the signal spectrum are indistinguishable from the noise peaks that lead to erroneous identification of system poles. In the proposed method, the system properties like energy density in… (More)
DOI: 10.1109/LSP.2004.842284

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Cite this paper

@article{Ferdousi2005SystemIA, title={System identification at an extremely low SNR using energy density in DCT domain}, author={Fahmida Ferdousi and A. T. Connie and M. Sharmin and M. R. Khan}, journal={IEEE Signal Processing Letters}, year={2005}, volume={12}, pages={289-292} }