Edgeworth Expansion Based Model for the Convolutional Noise pdf

Figure 4

Performance comparison between equalization algorithms simulated for a 16QAM input source going through channel case 1. The averaged results were obtained in 100 Monte Carlo trials for SNR of 30 dB. The step-size parameters were set to: 𝜇_𝐺=1×10⁻⁴, 𝜇_MaxEnt=4×10⁻⁴, 𝛽_MaxEnt=2×10⁻⁴. For Edgeworth order 4 with optimal Lagrange multipliers we used 𝑎_EE4=4.5, 𝜇_EE4=4.3×10⁻⁴, and𝛽_EE4=4.5×10⁻⁴ and for Edgeworth order 6 with optimal Lagrange multipliers we used 𝑎_EE6=4.5, 𝑏_EE6=38, 𝜇_EE6=5.2×10⁻⁴, and 𝛽_EE6=4.5×10⁻⁴. In addition we set for MaxEnt 𝜀=0, and for Edgeworth order 4 and order 6 𝜀=0.5.