Signals and Systems: Unit II: Analysis of Continuous Time Signals,,

Problems Based on Fourier Transform

Inverse Fourier Transform

Problems based on fourier transform and Inverse fourier transform

Problems Based on Fourier Transform

1. Obtain the Fourier transform of unit step signal u(t).

Solution:


Fourier transform of x(t)



2. Obtain the Fourier transform of unit impulse function δ(t)

Solution:


Fourier transform of x(t)


3. Obtain the Fourier transform of x(t) = 1

Solution:

Fourier transform of x(t)


4. Obtain the Fourier transform of following functions (i) x(t) = cos ωct (ii) x(t) = sin ωct

(i) x(t) = cos ωct (or) cos 2π fct

Solution:

Fourier transform of x(t)


(ii) x(t) = sin ωct

Solution :



5. Obtain the Fourier transform of following signals (i) x (t) = cos ω0t (ii) x(t) = sin ω0t

(i) x(t) = cos ω0t

Solution:


From frequency shifting property


Apply (2) in (1), we get


(ii) x(t) = sin ω0t

Solution:


From frequency shifting property


Apply (2) in (i), we get


6. Obtain the Fourier transform of x(t) = sgn(t)

Solution:

Signum function sgn(t) is defined as


Differentiate on both sides of (1).


By taking Fourier transform on both sides


7. Obtain the Fourier transform of the double exponential function shown in


Solution :


By linearity property of Fourier transform


Fourier transform of x2(t)



8. Find the Fourier transform of the signal x(t) = e – a t u(t) and sketch the magnitude and phase spectrum.

Solution:

x(t) = e – a t u(t)

Fourier transform of x(t)


So, limits of integration changes from 0 to ∞



Magnitude of


|X(ω)| and < X(ω) are tabulated for various values of @ to sketch the magnitude and phase spectrum.


For negative Values of ω




9. Find the Fourier transform of x(t) = e - |t|

Solution:

x(t) can be expressed as


Fourier transform of x(t) is



Magnitude of X(ω)


For positive values of ω



10. Obtain the Fourier transform of x(t) = eat u(-t) and plot the magnitude and phase spectrum.

Solution:

Fourier transform of x(t)


But u(-t) = 1, for 0 to -∞, So integration limits change from 0 to -∞.





11. Obtain the Fourier transform of a rectangular pulse, as shown in Fig.


Solution :

Rectangular pulse is defined as


Fourier transform of x(t) is



12. Obtain the Fourier transform of the antisymmetric exponential pulse as shown in figure.


Solution:

x(t) can be represented as


Fourier transform of x(t)


13. Obtain the Fourier transform of x(t) = e j 2 π fc t

Solution:


14. Obtain the Fourier transform of x(t) = t e – a t u(t)

Solution:

Fourier transform of x(t) is


So limits of integration of (1) changes into 0 to ∞.


Integrating by parts



15. Find the Fourier transform of x(t) = e – 4 t u(t-2)

Solution:

By rearranging x(t)


By time shifting property


16. Find the Fourier transform of x(t) = 5 sin23(t)

Solution :


By using linearity property


Inverse Fourier Transform


Steps to find inverse Fourier transform of X(ω)

Step 1:

Convert X(ω) by using partial fraction expansion in the form of


Step 2:

Then obtain inverse Fourier transform using standard Fourier transform pairs. Problems based on inverse Fourier transform:

1. Obtain inverse Fourier transform of the following signal.


Solution:



By taking the inverse Fourier transform using standard relation.


2. Obtain the inverse F.T of 

Solution :



Signals and Systems: Unit II: Analysis of Continuous Time Signals,, : Tag: : Inverse Fourier Transform - Problems Based on Fourier Transform