Edgeworth Expansion Based Model for the Convolutional Noise pdf

Figure 11

Performance comparison between equalization algorithms simulated for a 64QAM input source going through channel case 1. The averaged results were obtained in 100 Monte Carlo trials for the noiseless case. The step-size parameters were set to: 𝜇_MaxEnt=5.5×10⁻⁵, 𝛽_MaxEnt=6×10⁻⁵. For Edgeworth order 4 with optimal Lagrange multipliers we used 𝑎_EE4=2.4, 𝜇_EE4=6.2×10⁻⁵, and 𝛽_EE4=6×10⁻⁵ and for Edgeworth order 6 with optimal Lagrange multipliers we used 𝑎_EE6=2.4, 𝑏_EE6=4, 𝜇_EE6=6.2×10⁻⁵, and 𝛽_EE6=6×10⁻⁵. In addition we set for all methods 𝜀=0.7.