Time Domain Representation of Continuous and Discrete Signals 75
disp(energyfodd)
disp(‘ (in joules)’)
disp(‘*********************************************’)
disp(‘*********************************************’)
plot(t,check);
title(‘[feven(t) + fodd(t)] vs. t )’);
a xis([-10 10 -5 15]);xla bel(‘time’);
ylabel(‘Amplitude [feven(t) + fodd(t)]’)Back in the command window the script fi le even_odd is executed and the results are
shown as follows and in Figures 1.61 and 1.62.>> even _ odd*************************************************
************** ENERGY ANALYSIS *****************
*************************************************
The energy of f(t) =
838.3500
The energy of feven(t) =
796.6750
The energy of fodd(t) =
41.6750
(in joules)
*************************************************
*************************************************FIGURE 1.61
Plots of even and odd parts of f(t) of Example 1.14.10
50
− 5
− 1010
5
0
− 5
− 10 − 8 − 6 − 4 − 2 0 246810Amplitude [f(t)]Amplitude [feven(t)]Amplitude [fodd(t)]f(t) versus tfeven(t) versus ttime
− 8 − 6 − 4 − 2 0246810fodd(t) versus t50− 5
− 10 − 8 − 6 − 4 − 2 0246810timetime