Equalization
The Modulation Toolkit employs an adaptive feed-forward equalizer, which implies that the equalizer taps continuously adapts its coefficients to compensate for the action of the channel filter. The adaptive feed-forward equalizer uses a feed-forward adaptive least-mean-squared (LMS) algorithm to adjust the equalizer taps. At the start of the equalization process, you must supply training bits to train the equalizer. After training, the equalizer switches to decision-directed feedback mode, where the equalizer trains itself based on its own decisions.
The following are types of digital feedforward equalization VIs: