Simultaneous wavelet estimation and deconvolution of reflection seismic signals

IEEE Transactions on Geoscience and Remote Sensing

Volumn 34, Issue 2, 1996, Pages 377-384

  Cheng, Qiansheng ^a   Chen, Rong ^b   Li, Ta Hsin ^b  

^a PEKING UNIVERSITY   (China)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTROMAGNETIC WAVE REFLECTION; ERROR ANALYSIS; MATHEMATICAL MODELS; MONTE CARLO METHODS; RANDOM PROCESSES; SEISMIC PROSPECTING; SIGNAL ENCODING; SPURIOUS SIGNAL NOISE;

BAYESIAN APPROACH; BERNOULLI-GAUSSIAN DISTRIBUTION; DECONVOLUTION; GIBBS SAMPLER; MAXIMUM A POSTERIORI ESTIMATOR; MINIMUM MEAN SQUARED ERROR ESTIMATION; REFLECTION SEISMIC SIGNALS; WAVELET ESTIMATION;

SIGNAL PROCESSING;

EID: 0030107615     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/36.485115     Document Type: Article

References (18)

1. R. Chen and T. H. Li, "Blind restoration of linearly degraded discrete signals by Gibbs sampler,'' IEEE Trans. Signal Processing, vol. 43, no. 10, pp. 2410-2413, 1995.
2. Q. Cheng, "Maximum standardized cumulant deconvulution of non-Gaussian linear processes," Arm. Statist., vol. 18, pp. 1745-1783, 1990.
3. M. H. DeGroot, Probability and Statistics, 2nd ed. Amsterdam: Addison-Wesley, 1086.
4. D. Donoho. "On minimum entropy deconvolution," in Applied Time Series Analysis, II, D. F.-Findley, Ed. New York: Academic, 1981.
5. A. E. Gelfand and A. F. M. Smith, "Sampling-based approaches to calculating marginal densities," J. Amer. Statist Assoc., vol. 85, pp. 398-409, 1990.
6. A. Gelman and D. B. Rubin, "Inference from interactive simulation using multiple sequences," Statist. Sci., vol. 7, pp. 457-472, 1992.
7. S. Geman and D. Geman, "Stochastic relaxation, Gibbs distribution, and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Machine Intell, vol. PAMI-6, pp. 721-741, 1984.
8. Y. Goussard, G. Demoment, and F. Monfront, "Maximum a posteriori detection-estimation of Bernoulli-Gaussian processes," Mathematics in Signal Processing II G. McWhirter, Ed. Oxford: Clarendon, 1990, pp. 121-138.
9. J. Goutsias and J. M. Mendel, "Maximum likelihood deconvolution: An optimization theory perspective," Geophysics, vol. 51, pp. 1206-1220, 1986.
10. J. Idier and Y. Goussard, "Multichannel seismic deconvolution," IEEE Trans. Geosci. Remote Sensing, vol. 31, pp. 961-979, 1993.
11. J. Kormylo and J. M. Mendel, "Maximum likelihood detection and estimation of Bernoulli-Gaussian processes," IEEE Trans. Inform. Theory, vol. IT-28, pp. 482 488, 1982.
12. T. H. Li, "Blind deconvolution of discrete-valued signals." in Proc. 27th Asilomar Conf. Signals, Systems, Computers, Pacific Grove, CA, Nov. 1993, vol. 2, pp. 1240-1244.
13. J. S. Liu and R. Cheu. "Blind deconvolution via sequential imputation," J. Amer. Statist. Assoc., vol. 90, pp. 567-576, 1995.
14. J. M. Mendel, Optimal Seismic Der.onvolutinn: An Estimation-Based Approach. New York: Academic, 1983.
15. _, Maximum-Likelihood Deconvolution: A Journey into ModelBased Signal Processing. New York: Springer-Verlag, 1990.
16. E. A. Robinson, "Dynamic predictive deconvolution," Geophys. Prospecting, vol. 23, pp. 780-798, 1975.
17. T.-J. Yu, P. C. Müller, G.-Z. Dai, and C.-F. Lin, "Minimum-variance deconvolution for noncausal wavelets," IEEE Trans. Geosci. Remote Sensing, vol. 32, pp. 513-524, 1994.
18. R. A. Wiggins, "Minimum entropy deconvolution," Geoexploration, vol. 16, pp. 21-35, 1978.