Electronic – Sampling Theorem

samplingsignalsignal processing

\$x(t) = \frac{\sin(2000\pi t)}{\pi t}\cos(1000\pi t)\$ is sampled with sampling period \$T_{s} = \frac{1}{8000}\$, to obtain the sampled signal \$x_{p}(t)=x(t)p(t)\$, where \$p(t)= \sum_{n = -\infty}^{\infty} \delta(t – nT_{s}) \$ . The sampling signal can also be represented in the discrete time domain as \$x_{d}[n]=x(nT_{s})\$.

I find $$X_{p}(\omega) = \frac{1}{T} \sum_{n = -\infty}^{\infty} X(\omega-16000\pi t) \quad\textrm{where} \quad T = \frac {1}{8000}$$ and

$$ X(\omega) = \frac{1}{2} \left[X_{1}(\omega-1000\pi)-X_{1}(\omega+1000\pi)\right].$$

Also $$ x_{1}(t) = \frac{\sin(2000\pi)}{\pi t}\quad \textrm{and} \quad X_{1}(\omega) = \begin{cases} 1, & |\omega| < 2000\pi,\\
0, & |\omega|>2000\pi. \end{cases} $$

Now, I need to find the DTFT of \$x_{d}[n]\$ and got stuck there.

Need some help, thanks!

Best Answer

Apply the continuous to discrete time equation you've already given. The discrete time domain is itself a sampled version of the continuous time, sampled by the function \$x_d[n] = x(nT_s)\$