Detection and estimation of abrupt changes contaminated by multiplicative Gaussian noise

Signal Processing

Volumn 68, Issue 3, 1998, Pages 259-270

  Tourneret, Jean Yves ^a  

^a UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

Abrupt changes; Maximum likelihood detector; Multiplicative noise; Neyman Pearson detector

Indexed keywords

ALGORITHMS; DETECTORS; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; SIGNAL INTERFERENCE;

NEYMAN-PEARSON DETECTOR;

SIGNAL DETECTION;

EID: 0032142520     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0165-1684(98)00076-0     Document Type: Article

References (20)

1. M. Basseville, I.V. Nikiforov, Detection of Abrupt Changes: Theory and Application, Prentice-Hall, Englewood Cliffs, NJ, 1993.
2. O. Besson, P. Stoica, Sinusoidal signals with random amplitude: Least-squares estimators and their statistical analysis, IEEE Trans. Acoust. Speech Signal Process. 43 (11) (November 1995) 2733-2744.
3. A.C. Bovik, On detecting edges in speckle imagery, IEEE Trans. Acoust. Speech Signal Process. 36 (10) (October 1988) 1618-1627.
4. P.J. Brockwell, R.A. Davis, Time Series: Theory and Methods, 2nd ed., Springer, Berlin, 1990.
5. J.C. Curlander, R.N. McDonough, Synthetic Aperture Radar, Wiley-Interscience, New York, 1991.
6. M. Ghogho, Maximum likelihood estimation of AR modulated signals, Proc. EUSIPCO'96, September 1996.
7. J.P. Imhof, Computing the distribution of quadratic forms in normal variables, Biometrika 48 (1961) 443-446.
8. N.L. Johnson, S. Kotz, Continuous Univariate Distributions-2, 1st ed., Wiley, New York, 1970.
9. S.M. Kay, Modern Spectral Estimation: Theory and Applications, Prentice-Hall, Englewood Cliffs, NJ, 1988.
10. L.T. McWhorter, L.L. Scharf, Nonlinear maximum likelihood estimation of autoregressive time series, IEEE Trans. Signal Process. 43 (12) (December 1995) 2909-2919.
11. G. Mesnager, C. Lambert-Nebout, F. Castanié, Spatial resolution improvement using a SPECAN approach in SAR data processing, Proc. IGARSS'95, July 1995.
12. A. Moghaddamjoo, M. Doroodchi, Cramer-Rao lower bound on locations of sudden changes in a steplike signal, IEEE Trans. Signal Process. 44 (10) (October 1996) 2551-2556.
13. A. Papoulis, Probability Random Variables and Stochastic Processes, 3rd ed., McGraw-Hill, New York, 1991.
14. J.G. Proakis, Digital Communications, McGraw-Hill, New York, 1989.
15. M. Sack et al., Application of efficient linear FM matching filtering algorithms to SAR processing, Proc. IEE 132 (1985).
16. P. Stoica, R. Moses, Introduction to Spectral Analysis, Prentice Hall, Englewood Cliffs, NJ, 1997.
17. A. Swami, Multiplicative noise models: Parameter estimation using cumulants, Signal Processing 36 (1994) 355-373.
18. A. Swami, G.B. Giannakis, Signal detection and classification in multiplicative and additive noise, in: Proc. IEEE Workshop on Non-linear Signal and Image Processing, Halkidiki, Greece, 20-22 June 1995, pp. 839-842.
19. M. Tur, K.C. Chin, J.W. Goodman, When is speckle noise multiplicative?, Appl. Opt. 21 (1982) 1157-1159.
20. H.L. Van Trees, Detection, Estimation and Modulation Theory. Part 1, Wiley, New York, 1968.