Sampling and Reconstruction of Analog Signals
Sampling and Reconstruction of Analog Signals
Sampling and Reconstruction of Analog Signals
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Example 6a<br />
• Reconstruct the sample in example 2a using spline function<br />
• Maximum error is lower due to nonideal interpolation <strong>and</strong> the<br />
fact that x a (t) is nonb<strong>and</strong>-limited<br />
• The ideal interpolation suffers more from time-limitedness<br />
• The plot is excellent<br />
Ts = 0.0002; n = -25:1:25; nTs = n*Ts;<br />
x = exp(-1000*abs(nTs));<br />
% <strong>Analog</strong> Signal reconstruction<br />
Dt = 0.00005;<br />
t = -0.005:Dt:0.005;<br />
xa = spline(nTs,x,t);<br />
plot(t*1000,xa);<br />
xlabel('t in msec.'); ylabel('xa(t)')<br />
stem(n*Ts*1000,x); hold <strong>of</strong>f<br />
% check<br />
error = max(abs(xa - exp(-1000*abs(t))))<br />
error =<br />
0.0317<br />
xa(t)<br />
1<br />
0.9<br />
0.8<br />
0.7<br />
0.6<br />
0.5<br />
0.4<br />
0.3<br />
0.2<br />
0.1<br />
Reconstructed Signal from x1(n) using cubic spline function<br />
0<br />
-5 -4 -3 -2 -1 0 1 2 3 4 5<br />
t in msec.