[Performance of Adaptive DFE] Perform a Monte Carlo simulation to determine the error probability for the DFE shown in Figure 6.40 with N1 = 3 and N2 = 2 for the channel characteristic shown in Figure 6 .3 7, Channel B, as a function of the SNR = 1/2 σ2 . Use the first 200 transmitted symbols to train the equalizer with use of the LMS algorithm and a step size of ∆ = 0.045. Then perform the simulation for 10,000 transmitted binary symbols for each choice of the variance σ2 Also, perform a Monte Carlo simulation for a linear MSE equalizer with K = 5 ( 11 total tap weight coefficients) for the same Channel B, and compare the error probability for the linear equalizer with that of the DFE