Fourier Sine and Cosine Transforms Quiz

Fourier Sine and Cosine Transforms Quiz

1st Grade

10 Qs

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Fourier Sine and Cosine Transforms Quiz

Fourier Sine and Cosine Transforms Quiz

Assessment

Quiz

Mathematics

1st Grade

Hard

Created by

MUTHULAKSHMI M

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the Fourier sine transform used for?

To calculate the area under a curve

To solve differential equations

To transform a function of frequency into a function of time or space

To transform a function of time or space into a function of frequency

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the Fourier cosine transform used for?

To transform a real-valued function into a sum of tangent functions

To transform a real-valued function into a sum of cosine functions

To transform a complex-valued function into a sum of cosine functions

To transform a real-valued function into a sum of sine functions

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Can you name one application of Fourier sine transform?

Predicting stock market trends

Measuring temperature in a laboratory

Solving algebraic equations

Solving partial differential equations with periodic boundary conditions

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Can you name one application of Fourier cosine transform?

Astronomy

Signal processing

Cooking recipes

Car maintenance

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the formula for the Fourier sine transform?

F_s(k) = 1 / √(π) ∫[0 to ∞] f(x) sin(kx) dx

F_s(k) = 2 / √(π) ∫[0 to ∞] f(x) sin(kx) dx

F_s(k) = 2 / √(π) ∫[0 to ∞] f(x) cos(kx) dx

F_s(k) = 2 / π ∫[0 to ∞] f(x) sin(kx) dx

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the formula for the Fourier cosine transform?

F(ω) = ∫[0,∞] f(x)sin(ωx)dx

F(ω) = ∫[-∞,0] f(x)cos(ωx)dx

F(ω) = ∫[0,∞] f(x)cos(ωx)dx

F(ω) = ∫[-∞,∞] f(x)cos(ωx)dx

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the Fourier sine transform different from the Fourier cosine transform?

They produce the same output

They have different input requirements

They use different basis functions

They are the same thing

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