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21EC5252_DSP_Unit 1_FFT

Total questions: 20

Worksheet time: 10mins

Name
Class
Date
1.

The Fourier Transform of f(x) is  F[f(x)]=F[f(x)]=  

a)

12πf(x) dx = F[s]\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}f\left(x\right)\ dx\ =\ F\left[s\right]  

b)

12πf(x)eisx dx = F[s]\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}f\left(x\right)e^{isx}\ dx\ =\ F\left[s\right]  

c)

12πf(x) ds = F[s]\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}f\left(x\right)\ ds\ =\ F\left[s\right]  

d)

12πf(x)  cossx dx = F[s]\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}f\left(x\right)\ \ \cos sx\ dx\ =\ F\left[s\right]  

2.

The  inverse Fourier Transform of   F[f(x)] F[f(x)]\ is  f(x) =f\left(x\right)\ =   

a)

12π F[s] dx = f(x)\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}\ F\left[s\right]\ dx\ =\ f\left(x\right)  

b)

12πF[s]eisx ds =f(x)\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}F\left[s\right]e^{isx}\ ds\ =f\left(x\right)  

c)

12πF[s] eisxds =f(x)\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}F\left[s\right]\ e^{-isx}ds\ =f\left(x\right)  

d)

12πF[s]  cossx ds = f(x)\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}F\left[s\right]\ \ \cos sx\ ds\ =\ f\left(x\right)  

3.

The complex form  eisx e^{isx\ }  and eisxe^{-isx}   is 

a)

eisx  = cossx + sinsx  and eisx  = cossx  sinsx  e^{isx\ }\ =\ \cos sx\ +\ \sin sx\ \ and\ e^{-isx\ }\ =\ \cos sx\ -\ \sin sx\ \  

b)

eisx  = cossx +isinsx  and eisx  = cossx isinsx  e^{isx\ }\ =\ \cos sx\ +i\sin sx\ \ and\ e^{-isx\ }\ =\ \cos sx\ -i\sin sx\ \  

c)

eisx  = cossx  and eisx  =  sinsx  e^{isx\ }\ =\ \cos sx\ \ and\ e^{-isx\ }\ =\ \ \sin sx\ \  

d)

None of the above

4.

The Real part of  eisx e^{isx\ }  is

a)

sinsx

b)

i sinsx

c)

cossx

d)

cosx

5.

The Imaginary part of  eisx e^{isx\ }  is

a)

sinsx

b)

i sinsx

c)

cossx

d)

cosx

6.

The Fourier sine Transform of f(x) is  Fs[f(x)]=F_s[f(x)]=  

a)

12πf(x) dx = Fs[s]\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}f\left(x\right)\ dx\ =\ F_s\left[s\right]  

b)

12π0f(x) sinsx dx = Fs[s]\frac{1}{\sqrt{2\pi}}\int_0^{\infty}f\left(x\right)\ \sin sx\ dx\ =\ F_s\left[s\right]  

c)

2π0f(x) sinsx dx = Fs[s]\sqrt{\frac{2}{\pi}}\int_0^{\infty}f\left(x\right)\ \sin sx\ dx\ =\ F_s\left[s\right]  

d)

12πf(x)  cossx dx = Fs[s]\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}f\left(x\right)\ \ \cos sx\ dx\ =\ F_s\left[s\right]  

7.

The inverse Fourier sine Transform of   F1{Fs[f(x)]} = f(x)F^{-1}\left\{F_s[f(x)]\right\}\ =\ f\left(x\right)  

a)

12πf(x) ds= Fs[s]\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}f\left(x\right)\ ds=\ F_s\left[s\right]  

b)

12π0 Fs[s]sinsx ds=f(x) \frac{1}{\sqrt{2\pi}}\int_0^{\infty}\ F_s\left[s\right]\sin sx\ ds=f\left(x\right)\  

c)

2π0Fs[s]sinsx ds = f(x) \sqrt{\frac{2}{\pi}}\int_0^{\infty}F_s\left[s\right]\sin sx\ ds\ =\ f\left(x\right)\  

d)

12π Fs[s]  cossx dx =f(x)\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}\ F_s\left[s\right]\ \ \cos sx\ dx\ =f\left(x\right)  

8.

The Fourier cosine Transform of f(x) is  Fc[f(x)]=F_c[f(x)]=  

a)

12πf(x) cossx dx = Fc[s]\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}f\left(x\right)\ \cos sx\ dx\ =\ F_c\left[s\right]  

b)

12π0f(x) cossx dx = Fc[s]\frac{1}{\sqrt{2\pi}}\int_0^{\infty}f\left(x\right)\ \cos sx\ dx\ =\ F_c\left[s\right]  

c)

2π0f(x) cossx dx = Fc[s]\sqrt{\frac{2}{\pi}}\int_0^{\infty}f\left(x\right)\ \cos sx\ dx\ =\ F_c\left[s\right]  

d)

12πf(x)  cossx dx = Fs[s]\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}f\left(x\right)\ \ \cos sx\ dx\ =\ F_s\left[s\right]  

9.

Infinite Fourier Transform pair is also called

a)

complex form

b)

Complex pair

c)

complex transform pair

d)

none of the above

10.

f(x)= x2 in the interval x 1 f(x)=\ x^2\ in\ the\ interval\ \left|x\right|\ \le1\   means what and find the value of f(0) ?

a)

f(x)= x2 in the interval  x 1  and f(0) =1f(x)=\ x^2\ in\ the\ interval\ \ x\ \le1\ \ and\ f\left(0\right)\ =1  

b)

f(x)= x2 in the interval 1x 1  and f(0) = 1f(x)=\ x^2\ in\ the\ interval\ -1\le x\ \le1\ \ and\ f\left(0\right)\ =\ 1  

c)

f(x)= x2 in the interval   0x 1  and f(0) = 0f(x)=\ x^2\ in\ the\ interval\ \ \ 0\le x\ \le1\ \ and\ f\left(0\right)\ =\ 0  

d)

f(x)= x2 in the interval 1x 1  and f(0) = 0f(x)=\ x^2\ in\ the\ interval\ -1\le x\ \le1\ \ and\ f\left(0\right)\ =\ 0  

11.

f(x)=a2 x2 in the interval x a , where a>0 f(x)=a^2-\ x^2\ in\ the\ interval\ \left|x\right|\ \le a\ ,\ where\ a>0\   means what and find the value of f(0) ?

a)

f(x)= a2x2 in the interval  x a  and f(0) =1f(x)=\ a^2-x^2\ in\ the\ interval\ \ x\ \le a\ \ and\ f\left(0\right)\ =1  

b)

f(x)= a2x2 in the interval ax a  and f(0) = a2f(x)=\ a^2-x^2\ in\ the\ interval\ -a\le x\ \le a\ \ and\ f\left(0\right)\ =\ a^2  

c)

f(x)=a2 x2 in the interval   0x 1  and f(0) = a2f(x)=a^2-\ x^2\ in\ the\ interval\ \ \ 0\le x\ \le1\ \ and\ f\left(0\right)\ =\ a^2  

d)

f(x)= a2x2 in the interval ax a  and f(0) = 0f(x)=\ a^2-x^2\ in\ the\ interval\ -a\le x\ \le a\ \ and\ f\left(0\right)\ =\ 0  

12.

Given that W=e-i(2π/N) , where N=3. Then F=WN can be computed as F=

a)

0

b)

1

c)

-1

d)

e

13.

Given that W=e-i(2π/N) , where N=3. Then F=W(N/2) can be computed as F=

a)

0

b)

1

c)

-1

d)

e

14.

Which of the following relations are true if x(n) is real?

a)

X(ω)=X(-ω)

b)

X(ω)=-X(-ω)

c)

X*(ω)=X(ω)

d)

X*(ω)=X(-ω)

15.

The time system which operates with a continuous time signal and produces a continuous time output signal is

a)

CTF system

b)

DTF System

c)

Time invariant System

d)

Time variant System

16.

DFT is applied to

a)

Infinite sequences

b)

Finite discrete sequences

c)

Continuous infinite signals

d)

Continuous finite sequences

17.

The circular convolution of two sequences in time domain is equivalent to

a)

Multiplication of DFTs of two sequences

b)

Summation of DFTs of two sequences

c)

Difference of DFTs of two sequences

d)

Square of multiplication of DFTs of two sequences

18.

The basic properties of DFT includes

1)Linearity

2) Periodicity

3) Circular symmetry

4) Summation

a)

1, 2 and 3 are correct

b)

1, 2 and 4 are correct

c)

1 and 3 are correct

d)

All the four are correct

19.

The DFT is preferred for


1) Its ability to determine the frequency component of the signal

2) Removal of noise

3) Filter design

4) Quantization of signal

a)

1, 2 and 3 are correct

b)

1 and 2 are correct

c)

1 and 3 are correct

d)

All the four are correct

20.

DTFT is the representation of

a)

Periodic Discrete time signals

b)

Aperiodic Discrete time signals

c)

Aperiodic continuous signals

d)

Periodic continuous signals