a. Why do we use Discrete Fourier Transform (DFT) instead of Discrete-Time Fourier Transform (DTFT) in real-world signal processing applications? b. Given the 4-point discrete-time sequence x[0], x[1], x[2] and x[3], write a separate formula for each of its 4-point Discrete Fourier Transform X[0], X[1], X[2] and X[3].(Hint: X[.] is a function of x[0],x[1],x[2], and x[3]) c. Consider the "time-reversed" sequence y(n) = x[3 - n] for n = 0,1,2,3. Write its 4- point Discrete Fourier Transform Y[0], Y[1], Y[2] and Y[3] in terms of X[0], X[1], X[2] and X[3], where they are the Discrete Fourier Transform of x[n].
a. Why do we use Discrete Fourier Transform (DFT) instead of Discrete-Time Fourier Transform (DTFT) in real-world signal processing applications? b. Given the 4-point discrete-time sequence x[0], x[1], x[2] and x[3], write a separate formula for each of its 4-point Discrete Fourier Transform X[0], X[1], X[2] and X[3].(Hint: X[.] is a function of x[0],x[1],x[2], and x[3]) c. Consider the "time-reversed" sequence y(n) = x[3 - n] for n = 0,1,2,3. Write its 4- point Discrete Fourier Transform Y[0], Y[1], Y[2] and Y[3] in terms of X[0], X[1], X[2] and X[3], where they are the Discrete Fourier Transform of x[n].
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section5.6: Exponential And Logarithmic Equations
Problem 20E
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![Problem 6 Discrete Fourier Transform
a. Why do we use Discrete Fourier Transform (DFT) instead of Discrete-Time Fourier
Transform (DTFT) in real-world signal processing applications?
b. Given the 4-point discrete-time sequence x[0], x[1], x[2] and x[3], write a separate
formula for each of its 4-point Discrete Fourier Transform X[0], X[1], X[2] and
X[3].(Hint: X[-] is a function of x[0],x[1],x[2], and x[3])
c. Consider the "time-reversed" sequence y(n) = x[3 - n] for n = 0,1,2,3. Write its 4-
point Discrete Fourier Transform Y[0], Y[1], Y[2] and Y[3] in terms of X[0], X[1], X[2]
and X[3], where they are the Discrete Fourier Transform of x[n].
d. The magnitude and phase of X[0], X[1], X[2] and X[3] are given below. Draw the
magnitude and phase of Y[0], Y[1], Y[2] and Y[3]. (Hint: If you miss part c, you can
perform a 4-point inverse DFT to obtain x[n] and then compute Y[.]).
/8 √8
|XA| √89
k
ZXx
-5/2
N
2
k](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb369eb62-11fd-4878-881a-f7bb242e6acd%2Fce44c05d-e2a2-4f4b-b2a4-7fcac88a8a53%2Fvpubsxb_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Problem 6 Discrete Fourier Transform
a. Why do we use Discrete Fourier Transform (DFT) instead of Discrete-Time Fourier
Transform (DTFT) in real-world signal processing applications?
b. Given the 4-point discrete-time sequence x[0], x[1], x[2] and x[3], write a separate
formula for each of its 4-point Discrete Fourier Transform X[0], X[1], X[2] and
X[3].(Hint: X[-] is a function of x[0],x[1],x[2], and x[3])
c. Consider the "time-reversed" sequence y(n) = x[3 - n] for n = 0,1,2,3. Write its 4-
point Discrete Fourier Transform Y[0], Y[1], Y[2] and Y[3] in terms of X[0], X[1], X[2]
and X[3], where they are the Discrete Fourier Transform of x[n].
d. The magnitude and phase of X[0], X[1], X[2] and X[3] are given below. Draw the
magnitude and phase of Y[0], Y[1], Y[2] and Y[3]. (Hint: If you miss part c, you can
perform a 4-point inverse DFT to obtain x[n] and then compute Y[.]).
/8 √8
|XA| √89
k
ZXx
-5/2
N
2
k
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