Maximum-likelihood detection and estimation performance for rank one MEG activity

2007 ◽  
Vol 1300 ◽  
pp. 233-236
Author(s):  
T. Limpiti ◽  
B. Van Veen ◽  
R. Wakai
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Detection ◽  
Detection And Estimation ◽  
Estimation Performance ◽  
Rank One

Entropy interpretation of maximum‐likelihood deconvolution

Geophysics ◽  
1987 ◽  
Vol 52 (12) ◽  
pp. 1621-1630 ◽  
Author(s):  
Georgios B. Giannakis ◽  
Jerry M. Mendel
Keyword(s):  
Maximum Likelihood ◽  
Statistical Model ◽  
General Framework ◽  
Random Sequence ◽  
Minimum Entropy ◽  
Maximum Likelihood Detection ◽  
Detection And Estimation ◽  
Shannon's Entropy ◽  
Similarities And Differences ◽  
Sequence Study

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.

Joint maximum likelihood detection and link selection for cooperative MIMO relay systems

2014 ◽  
Vol 8 (14) ◽  
pp. 2489-2499 ◽  
Author(s):  
Thomas Hesketh ◽  
Stephen Wales ◽  
Rodrigo C. de Lamare
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Detection ◽  
Mimo Relay ◽  
Relay Systems ◽  
Cooperative Mimo ◽  
Selection For
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