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Fourier Transform - Prerequisites

Fourier Transform - Prerequisites

Assessment

Presentation

Science

University

Medium

NGSS
HS-PS4-1, HS-PS4-3, HS-PS4-5

Standards-aligned

Created by

Anoop C V

Used 39+ times

FREE Resource

3 Slides • 13 Questions

1

Prerequisites - Fourier Transform

Review of some useful Results

Slide image

2

Multiple Choice

Consider a complex number with real part = a and imaginary part = b. Also let

 R=(a2+b2)R=\sqrt{\left(a^2+b^2\right)}  and  θ=tan1(ba)\theta=\tan^{-1}\left(\frac{b}{a}\right)  which is the correct way to represent the complex number?

1

 a+jba+jb  

2

 RθR\angle\theta  

3

 RejθRe^{j\theta}  

4

 R(cosθ+jsinθ)R\left(\cos\theta+j\sin\theta\right)  

5

ALL OPTIONS are TRUE

3

Multiple Choice

A sinusoidal signal with peak amplitude Ac is applied across a 1 ohm resistor. The power delivered is

1

 (Ac)2\left(A_c\right)^2  

2

 (Ac)22\frac{\left(A_c\right)^2}{2}  

4

Open Ended

Significance of Fourier Transform? What information can it give you? Write only key Words.

5

Multiple Choice

Fourier Transform of x(t) is defined as,  F{x(t)}=X(f)=F\left\{x\left(t\right)\right\}=X\left(f\right)=  

1

 x(t)ej2πftdt\int_{-\infty}^{\infty}x\left(t\right)e^{-j2\pi ft}dt  

2

 x(t)ej2πftdf\int_{-\infty}^{\infty}x\left(t\right)e^{-j2\pi ft}df  

3

 x(t)ej2πftdt\int_{-\infty}^{\infty}x\left(t\right)e^{j2\pi ft}dt  

4

 x(t)ej2πftdf\int_{-\infty}^{\infty}x\left(t\right)e^{j2\pi ft}df  

6

Multiple Choice

Inverse Fourier Transform of X(f) is defined as,  F1{X(f)}=x(t)=F^{-1}\left\{X\left(f\right)\right\}=x\left(t\right)=  

1

 X(f)ej2πftdt\int_{-\infty}^{\infty}X\left(f\right)e^{-j2\pi ft}dt  

2

 X(f)ej2πftdf\int_{-\infty}^{\infty}X\left(f\right)e^{-j2\pi ft}df  

3

 X(f)ej2πftdt\int_{-\infty}^{\infty}X\left(f\right)e^{j2\pi ft}dt  

4

 X(f)ej2πftdf\int_{-\infty}^{\infty}X\left(f\right)e^{j2\pi ft}df  

7

Multiple Choice

If x(t) = 1, what is X(f)?

1

δ(f)\delta\left(f\right)

2

sin(πf)(πf)\frac{\sin\left(\pi f\right)}{\left(\pi f\right)}

3

11

4

δ(1)\delta\left(1\right)

8

Multiple Choice

A dirac delta function in frquecy domain δ(f)\delta\left(f\right) is defined as 

1

 δ(f)=0  f0 and δ(f)df=1\delta\left(f\right)=0\ \forall\ f\ne0\ and\ \int_{-\infty}^{\infty}\delta\left(f\right)df=1  

2

 δ(f)=1 when f=0, and δ(f) = 0  f0\delta\left(f\right)=1\ when\ f=0,\ and\ \delta\left(f\right)\ =\ 0\ \forall\ f\ne0  

9

Multiple Choice

 ejθ=?e^{j\theta}=?  

1

 cos(jθ)+sin(jθ)\cos\left(j\theta\right)+\sin\left(j\theta\right)  

2

 cos(θ)+jsin(θ)\cos\left(\theta\right)+j\sin\left(\theta\right)  

10

Multiple Choice

 cos(θ)=?\cos\left(\theta\right)=?  

1

 ejθ+ejθ2\frac{e^{j\theta}+e^{-j\theta}}{2}  

2

 ejθejθ2j\frac{e^{j\theta}-e^{-j\theta}}{2j}  

11

Multiple Choice

 cos(A)cos(B)=\cos\left(A\right)\cos\left(B\right)=  

1

 12[cos(A+B)+cos(AB)]\frac{1}{2}\left[\cos\left(A+B\right)+\cos\left(A-B\right)\right]  

2

 12[cos(AB)cos(A+B)]\frac{1}{2}\left[\cos\left(A-B\right)-\cos\left(A+B\right)\right]  

12

Slide image

Product Sum

13

Slide image

14

Multiple Choice

The frequency shifting property of Fourier Transform says:

1

F{x(t)ej2πfct}=X(ffc)F\left\{x\left(t\right)e^{j2\pi f_ct}\right\}=X\left(f-f_c\right)

2

F{x(t)ej2πfct}=X(f+fc)F\left\{x\left(t\right)e^{-j2\pi f_ct}\right\}=X\left(f+f_c\right)

3

Both

4

None

15

Multiple Choice

If M(f) is Fourier Transform of a baseband signal m(t) , then

 F{m(t).cos(2πfct)}=?F\left\{m\left(t\right).\cos\left(2\pi f_ct\right)\right\}=?  

1

 M(f+fc)+M(ffc)M\left(f+f_c\right)+M\left(f-f_c\right)  

2

 12[M(f+fc)+M(ffc)]\frac{1}{2}\left[M\left(f+f_c\right)+M\left(f-f_c\right)\right]  

3

 12[M(f+fc)M(ffc)]\frac{1}{2}\left[M\left(f+f_c\right)-M\left(f-f_c\right)\right]  

4

 M(fc)M\left(f_c\right)  

16

Poll

Do we need to discuss some of the basics included in this quiz before we move ahead and apply it for obtaining spectra of AM?

YES

NO

Prerequisites - Fourier Transform

Review of some useful Results

Slide image

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