Correct Answer - Option 1 : lamination
The convolution of a signal is defined as:
\(y(t)=h(t)*x(t)\)
\( y(t)= \mathop \smallint \limits_{ - \infty }^\infty x\left( τ \right)h\left( {t - τ } \right)dτ \)
The above convolution process can be understood as:
1) Folding the impulse response function h(t), i.e. performing the operation of h(-t) to get h(-τ)
2) Shifting this time domain signal by t, to get h (t - τ)
3) Summation of the input signal x(τ) with the above shifted version of impulse response, i.e.
\( y(t)= \mathop \smallint \limits_{ - \infty }^\infty x\left( τ \right)h\left( {t - τ } \right)dτ \)
Conclusion: Lamination is not a process involved in convolution.
