A novel method for data segmentation to covariance stationary regions

This paper presents a new method for segmenting non-stationary data to covariance-stationary regions that is of importance in some applications such as subspace-based speech enhancement. The proposed method utilizes a test statistic previously suggested for Synthetic Aperture Radar (SAR) image segme...

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Bibliographische Detailangaben

Hauptverfasser:	Faraji, N, Ahadi, S M, Sheikhzadeh, H, Moghaddamjoo, A
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Covariance matrix covariance-stationarity Eigenvalues and eigenfunctions Histograms Image segmentation Noise measurement Random Matrix Theory Signal to noise ratio speech segmentation test statistic
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