10 plot_ predict

Purpose

Displays the learning curve of the adaptive filter and the signals of interest in adaptive prediction applications.

Syntax

plot_predict(x,y,r,e)

Description

plot_predict() displays the input, output, and error signals, and the learning curve of a prediction error filter. plot_predict() takes as input the prediction error filter input signal $x(n)$, its output $y(n)$, the error signal $r(n), and the mean square error vector$e(n) (that is usually returned by update_ipwin()), and returns after rendering the graph window. The variables of plot_predict() are summarized below.

 
Input variables:
   x  : predictor input signal
   y  : predictor output signal
   r  : predictor error signal
   e  : mean square error vector

Example

Figure 9.9: The adaptive prediction graph window.

An example graph window generated using plot_predict() is shown in Fig. 9.9. The top left panel shows the predictor input signal, the top right panel displays the prediction error, the bottom left panel displays the predictor output, and the bottom right panel displays the evolution of the mean square error with time.