Cepstrum of bispectrum-A new approach to blind system reconstruction

Authors:
Shahjahan Shahid;Jacqueline Walker
Affiliations:
Department of Computing Science and Mathematics, University of Stirling, UK;Department of Electronic and Computer Engineering, University of Limerick, Ireland
Venue:
Signal Processing
Year:
2008

Citing 8
Cited 2

Discrete-time signal processing

Discrete-time signal processing
Blind deconvolution based on signal reconstruction from partial information using higher-order spectra

ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Blind convolution using signal reconstruction from partial higherorder cepstral information

IEEE Transactions on Signal Processing
System reconstruction from higher order spectra slices

IEEE Transactions on Signal Processing
System reconstruction based on selected regions of discretizedhigher order spectra

IEEE Transactions on Signal Processing
Phase reconstruction from bispectrum slices

IEEE Transactions on Signal Processing
Phase-only blind deconvolution using bicepstrum iterativereconstruction algorithm (BIRA)

IEEE Transactions on Signal Processing
Signal reconstruction from the phase of the bispectrum

IEEE Transactions on Signal Processing

Fast communication: On second-order statistics of log-periodogram and cepstral coefficients for processes with mixed spectra

Signal Processing
Use of higher order spectrum in characterizing nonlinear interactions in human brain signals

Proceedings of the International Conference on Advances in Computing, Communications and Informatics

Quantified Score

Hi-index	0.08

Visualization

Abstract

In this paper, an improved approach to blind deconvolution of LTI systems incorporating phase unwrapping is presented. The method can recover a noise-free estimate of the logarithm of the system transfer function which enables reconstruction of the system. The algorithm is fast due to simple computation and accurate as it includes phase unwrapping. The proposed method is compared via simulation with other methods, selected as representative of both bispectrum- and bicepstrum-based techniques. In general, it performs as well as or much better than the other methods considered. The proposed method is also shown to perform well under low signal-to-noise ratios.