If x(t) ↔ X(f) denotes a Fourier transform (FT) pair, Π(tT) denotes a rectangular pulse of width T and '⋆' denotes the convolution operation, then the FT of the signal x(t)=Π(tT)Π(tT) is

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  1. T2 sinc2 (fT)
  2. -j sgn (fT)
  3. T2e(F/T)2
  4. T sinc (2fT)

Answer (Detailed Solution Below)

Option 1 : T2 sinc2 (fT)

Detailed Solution

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Concept:

1. Fourier transform of a function is defined as:

X(ω)=x(t)ejωtdt

X(f)=x(t)ej2πftdt

2. Inverse Fourier transform is defined as:

x(t)=12πX(ω)jjωtdω

x(t)=X(f)ej2πftdf

As π(tτ)=rect(tτ)

3. Fourier Transform of Rectangular pulse is:

Arect(t/T) = ATsinc(fT)  

4. Fourier Transform of Triangular pulse:

Atri(t/T) = ATsinc2(fT)   

5. Convolution in time domain = Multiplication in frequency domain

Calculation 

Let x(t) is Arect(tT)  

Arect(tT)=AGT(t) and represented as:

F3 S.B 17.9.20 Pallavi D14

x(t)=u(t+T2)u(tT2)

With shifting property, we get the Fourier transform as:

X(ω)=1jω[ejωT2ejωT2]

X(ω)=2jω×2[ejωT2ejωT2]

=2ωsin(ωT2)

Let:

Sa(x)=sin(x)x

The sinc function is defined as:

sincx=sinπxπx

X(ω)=2sin(ωT2)ωT2×2T=TSa(ωT2)

X(ω)=Tsinc(ωT2π)

X(ω)=Tsinc(ωT2π)

X(ω)=Tsinc(fT)

 

Now, the Multiplication in one domain corresponds to the convolution in another domain

Π(tT)Π(tT)=T2sinc2(fT)

Hence option(1) is the correct answer.

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