A Triple Cross-correlation Approach For Enhancing Noisy Signals
- 24 August 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 212-216
- https://doi.org/10.1109/hosa.1989.748766
Abstract
Noise cancelers are traditionally designed based on secondorder statistics of the available observation. The design assumes availability of a reference signal in the secondwy input, which is highly correlated with the noise, while being independent of the zero-mean information signal in the primary input. In this paper triple correlation based cancelers are derived for enhancing noisy signrds. It is shown that cancelers based on second- and higher-order statistics are equivalent when the additive noise and the reference signal are related by a linear time-invariant transformation. The triple correlation based noise canceler outperforms the classical design when the reference signal is corrupted by additive Gaussian noise of unknown covariance. Simulations illustrate the performance of the proposed design.Keywords
This publication has 7 references indexed in Scilit:
- New Results On Multiple CorrelationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Voiced/Unvoiced decision based on the bispectrumPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Speech signal reconstruction based on higher order spectraPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Signal reconstruction from multiple correlations: frequency- and time-domain approachesJournal of the Optical Society of America A, 1989
- Bispectrum estimation: A digital signal processing frameworkProceedings of the IEEE, 1987
- Adaptive noise canceling for speech signalsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1978
- Adaptive noise cancelling: Principles and applicationsProceedings of the IEEE, 1975