The energy of the signal \(x(t) = \frac{{{\rm{sin}}\left( {4{\rm{\pi t}}} \right)}}{{4{\rm{\pi t}}}}\) is______
We know,
\({\rm{x}}\left( {\rm{t}} \right) = \frac{{{\rm{sin}}4{\rm{\pi t}}}}{{4{\rm{\pi t}}}}\)
Integrating mod square of x(t) to find the energy will be a tedious process.
Alternate Method
Fourier transform of \(\frac{{{\rm{sin}}4{\rm{\pi t}}}}{{4{\rm{\pi t}}}}\)

From Parseval’s theorem
\(\mathop \smallint \limits_{ - \infty }^\infty {\left| {{\rm{x}}\left( {\rm{t}} \right)} \right|^2}{\rm{dt}} = \frac{1}{{2{\rm{\pi }}}}\mathop \smallint \limits_{ - \infty }^\infty {\left| {{\rm{X}}\left( {\rm{\omega }} \right)} \right|^2}{\rm{d\omega }}\)
we have,
\(\begin{array}{l} \frac{1}{{2{\rm{\pi }}}}\mathop \smallint \limits_{ - 4{\rm{\pi }}}^{4{\rm{\pi }}} {\left( {\frac{1}{4}} \right)^2}{\rm{d\omega }} = \frac{1}{{2{\rm{\pi }}}}\mathop \smallint \limits_{ - 4{\rm{\pi }}}^{4{\rm{\pi }}} \frac{1}{{16}}{\rm{d\omega }}\\ \Rightarrow = \left. {\frac{1}{{2{\rm{\pi }}}}.\frac{1}{{16}}{\rm{\omega }}} \right|_{ - 4{\rm{\pi }}}^{4{\rm{\pi }}}\\ = \frac{1}{{2{\rm{\pi }}}}.\frac{1}{{16}}.8{\rm{\pi }} = \frac{1}{4} \end{array}\)
Thus,
signal's energy \(\mathop \smallint \limits_{ - \infty }^\infty {\left| {{\rm{x}}\left( {\rm{t}} \right)} \right|^2}{\rm{dt}} = \frac{1}{4}\)
The given mathematical representation belongs to:
y(t) = x(t - T)
Which type of property is shown by the following function.
L{K f(t)} = K F(s)
Consider the signal x(t) = e-|t|. Let X(jω) = \(\mathop \smallint \limits_{ - \infty }^\infty x\left( t \right){e^{ - j\omega t}}dt\) be the Fourier transform of x(t). The value of X(j0) is
A real-valued signal 𝑥(𝑡) limited to the frequency band \(\left| f \right| \le \frac{W}{2}\) is passed through a linear time-invariant system whose frequency response is
\(H\left( f \right) = \left\{ {\begin{array}{*{20}{c}} {{e^{ - j4\pi f,\;\;\;\left| f \right| \le \frac{W}{2}}}}\\ {0,\;\;\;\;\left| f \right| > \frac{W}{2}} \end{array}} \right.\)
The output of the system isConsider two continuous time signals $x(t)$ and $y(t)$ as shown below 
If $X(f)$ denotes the Fourier transform of $x(t)$, then the Fourier transform of $y(t)$ is _________