DocumentCode :
2762485
Title :
A novel method for data segmentation to covariance stationary regions
Author :
Faraji, N. ; Ahadi, S.M. ; Sheikhzadeh, H. ; Moghaddamjoo, A.
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
fYear :
2010
fDate :
4-6 Dec. 2010
Firstpage :
1000
Lastpage :
1005
Abstract :
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 segmentation. In this paper, employing Random Matrix Theory, we derive two first moments of the test statistic which are used to define an explicit decision threshold rather than heuristic one. We show through Monte Carlo simulation some interesting properties of the test statistic. The reasonable performance of our approach is validated by means of ROC curve obtained as the result of applying the proposed method to the synthetic data. Moreover, we compare our algorithm with the two recently introduced algorithms of which one aimed at locating variance-stationary regions and the other is designed to find the data intervals with the same covariance structure. The superior performance of our algorithm as well as its low computational cost is shown in this paper.
Keywords :
covariance analysis; image segmentation; speech processing; synthetic aperture radar; time series; Monte Carlo simulation; ROC curve; covariance stationary region; covariance structure; nonstationary data segmentation; random matrix theory; subspace based speech enhancement; synthetic aperture radar image segmentation; variance stationary region; Accuracy; Covariance matrix; Eigenvalues and eigenfunctions; Histograms; Image segmentation; Noise measurement; Signal to noise ratio; Random Matrix Theory; covariance-stationarity; speech segmentation; test statistic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications (IST), 2010 5th International Symposium on
Conference_Location :
Tehran
Print_ISBN :
978-1-4244-8183-5
Type :
conf
DOI :
10.1109/ISTEL.2010.5734167
Filename :
5734167
Link To Document :
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