<svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-0.06579971pt" id="M1" height="11.4135pt" version="1.1" viewBox="-0.0657574 -11.3477 17.2697 11.4135" width="17.2697pt"><g transform="matrix(.017,0,0,-0.017,0,0)"><path id="g50-78" d="M1006 650H829L492 147L357 650H174L166 618C270 609 275 601 247 502L194 315C158 189 136 127 122 96C104 56 80 37 18 32L12 0H256L263 32C181 40 176 51 183 98C188 132 197 179 226 281L299 541H301L433 6H458L809 551H811L753 141C739 41 734 39 650 32L642 0H917L923 32C836 39 827 41 839 142L887 535C896 610 901 612 997 618L1006 650Z"/></g></svg>-PAM Signals Classification Using Modified Gabor Filter Network

<div>Probability of correctness curve under AWGN channel for the example of PAM 16.</div>

Mathematical Problems in Engineering

fig7

Figure 7

Figure 7: <svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-0.06579971pt" id="M1" height="11.4135pt" version="1.1" viewBox="-0.0657574 -11.3477 17.2697 11.4135" width="17.2697pt"><g transform="matrix(.017,0,0,-0.017,0,0)"><path id="g50-78" d="M1006 650H829L492 147L357 650H174L166 618C270 609 275 601 247 502L194 315C158 189 136 127 122 96C104 56 80 37 18 32L12 0H256L263 32C181 40 176 51 183 98C188 132 197 179 226 281L299 541H301L433 6H458L809 551H811L753 141C739 41 734 39 650 32L642 0H917L923 32C836 39 827 41 839 142L887 535C896 610 901 612 997 618L1006 650Z"/></g></svg>-PAM Signals Classification Using Modified Gabor Filter Network 