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B. Goossens, A. Pizurica and W. Philips, “Removal of Correlated Noise by Modeling Spatial Correlations and Interscale Dependencies in the Complex Wavelet Domain,” IEEE International Conference on Image Processing, Ghent University, Ghent, Vol. 1, 2007, pp. 317-320.

has been cited by the following article:

• TITLE: Extraction of Buried Signals in Noise: Correlated Processes

  AUTHORS: Nourédine Yahya Bey

  KEYWORDS: Extraction, Buried Signals, Spectral Analysis, Colored Noise, White Noise, Correlated Processes

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.3 No.11, November 23, 2010

  ABSTRACT: In this paper, we propose extraction of signals correlated with noise in which they are buried. Proposed extraction method uses no a-priori information on the buried signal and works independently of the nature of noise, correlated or not with the signal, colored or white, Gaussian or not, and locations of its spectral extent. Extraction of buried correlated signals is achieved without averaging in the time or frequency domain.