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Reconstruction of Sampled Signals

Consider the system shown in the following block diagram:


\begin{picture}
(60,30)
 
\setlength {\unitlength}{1mm}
 
 \put( 0, 20){\vector(...
 ... 0)[t]
 {$\displaystyle \sum_{n=-\infty}^{\infty} \delta(t-nT_0)$}}\end{picture}

The impulse response h(t) of the filter in the system is given by

\begin{displaymath}
h(t) = \left\{
\begin{array}
{cl}
 1 & \mbox{for $-\frac{T_0...
 ... \leq t < \frac{T_0}{2}$}\\  0 & \mbox{else.}\end{array}\right.\end{displaymath}

1.
For a ``typical'' low-pass signal x(t), sketch both the sampled signal y(t) and the reconstructed signal z(t).
2.
Describe in your own words
3.
Show that the following is a Fourier transform pair

\begin{displaymath}
\sum_{n=-\infty}^{\infty} \delta(t-nT_0) \leftrightarrow
 \frac{1}{T_0} \sum_{m=-\infty}^{\infty} \delta(f-\frac{m}{T_0}).
 \end{displaymath}

4.
Use the result from part (c) to find the Fourier transform Y(f) of the sampled signal y(t) in terms of the Fourier transform X(f) of the input signal x(t).
5.
Use the results from part (d) to determine the Fourier transform Z(f) of the reconstructed signal z(t). Assuming a ``typical'' spectrum for X(f) (with X(f)=0 for |f| > fM), sketch the magnitude of Z(f).
6.
What relationship between fM and T0 will lead to a good reconstruction of the input signal?



Prof. Bernd-Peter Paris
3/3/1998