To solve this problem, we need to find the auto-correlation function of a rectangular pulse and analyze its characteristics.
- Auto-correlation function: The auto-correlation function of a signal \( x(t) \), denoted as \( R_x(\tau) \), is defined as the convolution of the signal with its time-reversed version. Mathematically:
\[ R_x(\tau) = \int_{-\infty}^{\infty} x(t) x(t - \tau) dt \]
- Rectangular Pulse: A rectangular pulse of duration \( T \) is a signal that is 1 for \( t \) in the interval \( [0, T] \) and 0 otherwise. Its auto-correlation function can be calculated by overlapping the pulse with a shifted version of itself and measuring the overlap as a function of the shift.
The auto-correlation function of a rectangular pulse of duration \( T \) is known to produce a triangular pulse. This is because the overlap between the original pulse and the shifted version decreases linearly as the shift increases. Therefore, the auto-correlation function is a triangular pulse with a base duration of \( 2T \).
The auto-correlation function of a rectangular pulse of duration \( T \) is A triangular pulse of duration \( 2T \).
Signals and their Fourier Transforms are given in the table below. Match LIST-I with LIST-II and choose the correct answer.
LIST-I | LIST-II |
---|---|
A. \( e^{-at}u(t), a>0 \) | I. \( \pi[\delta(\omega - \omega_0) + \delta(\omega + \omega_0)] \) |
B. \( \cos \omega_0 t \) | II. \( \frac{1}{j\omega + a} \) |
C. \( \sin \omega_0 t \) | III. \( \frac{1}{(j\omega + a)^2} \) |
D. \( te^{-at}u(t), a>0 \) | IV. \( -j\pi[\delta(\omega - \omega_0) - \delta(\omega + \omega_0)] \) |