What is the effect of the adaptation step of lms algorithm

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Reference no: EM133483944

Discussion Post: Algorithm Digital Signal Processing

Using the LMS Equalizer simulation script attached to the activity, perform experiments in order to answer the following questions:

I. One of the equalizer parameters is its size (L), which indicates the number of channel regressors used to build the equalizer. What influences the choice of equalizer size?

II. What is the effect of the adaptation step of the LMS algorithm? What is the advantage of increasing or reducing its value?

III. What happens if we decrease the ratio between the size of the training sequence and the data sequence? Which of the channel parameters is related to this ratio?

IV. Construct a graph demonstrating the equalizer's performance, showing the SER as a function of the channel's SNR.
V. In the report, illustrate your answers through the graphs obtained in the simulation.

Reference no: EM133483944

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