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Table 1 Parameter estimation

From: An Unsupervised LLR Estimation with unknown Noise Distribution

 μaσaμbσb
α=1.8γ=0.53Unsupervised3.430.065.730.15
  SupLS=200003.250.057.590.28
  SupLS=12003.270.248.5014.48
  SupLS=9003.270.2711.7246.15
 γ=0.55Unsupervised3.230.055.610.14
  SupLS=200003.050.057.620.28
  SupLS=12003.070.227.971.54
  SupLS=9003.070.2610.7330.41
  1. Comparison of the mean and standard deviation evolution for the parameters (a,b) as a function of the dispersion γ of a S αS noise with α=1.8 for the supervised with different learning sequence sizes and unsupervised optimization