Maximum likelihood detection and estimation for harmonic sets

1980 ◽  
Vol 68 (1) ◽  
pp. 149-155 ◽  
Author(s):  
T. W. Eddy
Geophysics ◽  
1987 ◽  
Vol 52 (12) ◽  
pp. 1621-1630 ◽  
Author(s):  
Georgios B. Giannakis ◽  
Jerry M. Mendel

Entropy concepts are embodied in the maximum‐likelihood deconvolution (MLD) method, just as they are in minimum‐entropy (MED) methods. MLD asymptotically minimizes Shannon’s entropy of the reflectivity sequence (which, in MLD, is modeled as a Bernoulli‐Gaussian random sequence). Study of maximum‐ likelihood detection and estimation of the reflectivity sequence reveals that MLD is embodied in the general framework of the “adaptive” MED methods. Comparisons based on similarities and differences between MLD and various existing MED techniques show that MLD is robust due to explicit inclusion of noise in its statistical model.


2014 ◽  
Vol 8 (14) ◽  
pp. 2489-2499 ◽  
Author(s):  
Thomas Hesketh ◽  
Stephen Wales ◽  
Rodrigo C. de Lamare

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