Digital Signal Processing

Efficient Computation of DFT FFT Algorithms

Question 1
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WNk+N/2=?
WNk
-WNk
WN-k
None of the mentioned
Explanation:
According to the symmetry property, we get WNk+N/2=-WNk.
Question 2
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The computation of XR(k) for a complex valued x(n) of N points requires _____________
2N2 evaluations of trigonometric functions
4N2 real multiplications
4N(N-1) real additions
All of the mentioned
Explanation:
The expression for XR(k) is given as
Question 3
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The following butterfly diagram is used in the computation of __________
Decimation-in-time FFT
Decimation-in-frequency FFT
All of the mentioned
None of the mentioned
Explanation:
The above given diagram is the basic butterfly computation in the decimation-in-time FFT algorithm.
Question 4
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If the arrangement is of the form in which the first row consists of the first M elements of x(n), the second row consists of the next M elements of x(n), and so on, then which of the following mapping represents the above arrangement?
n=l+mL
n=Ml+m
n=ML+l
none of the mentioned
Explanation:
If we consider the mapping n=Ml+m, then it leads to an arrangement in which the first row consists of the first M elements of x(n), the second row consists of the next M elements of x(n), and so on.
Question 5
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Which of the following is true regarding the number of computations required to compute an N-point DFT?
N2 complex multiplications and N(N-1) complex additions
N2 complex additions and N(N-1) complex multiplications
N2 complex multiplications and N(N+1) complex additions
N2 complex additions and N(N+1) complex multiplications
Explanation:
The formula for calculating N point DFT is given as
Question 6
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What is the real part of the N point DFT XR(k) of a complex valued sequence x(n)?
\\(\\sum_{n=0}^{N-1} [x_R (n) cos⁡\\frac{2Ï€kn}{N} – x_I (n) sin⁡\\frac{2Ï€kn}{N}]\\)
\\(\\sum_{n=0}^{N-1} [x_R (n) sin⁡\\frac{2πkn}{N} + x_I (n) cos⁡\\frac{2πkn}{N}]\\)
\\(\\sum_{n=0}^{N-1} [x_R (n) cos⁡\\frac{2πkn}{N} + x_I (n) sin⁡\\frac{2πkn}{N}]\\)
None of the mentioned
Explanation:
For a complex valued sequence x(n) of N points, the DFT may be expressed as
Question 7
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How many complex multiplications are required to compute X(k)?
N(N+1)
N(N-1)/2
N2/2
N(N+1)/2
Explanation:
We observe that the direct computation of F1(k) requires (N/2)2 complex multiplications. The same applies to the computation of F2(k). Furthermore, there are N/2 additional complex multiplications required to compute WNk. Hence it requires N(N+1)/2 complex multiplications to compute X(k).
Question 8
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The total number of complex additions required to compute N point DFT by radix-2 FFT is?
(N/2)log2N
Nlog2N
(N/2)logN
None of the mentioned
Explanation:
The decimation of the data sequence should be repeated again and again until the resulting sequences are reduced to one point sequences. For N=2v, this decimation can be performed v=log2N times. Thus the total number of complex additions is reduced to Nlog2N.
Question 9
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If X(k) is the N/2 point DFT of the sequence x(n), then what is the value of X(k+N/2)?
F1(k)+F2(k)
F1(k)-WNk F2(k)
F1(k)+WNk F2(k)
None of the mentioned
Explanation:
We know that, X(k) = F1(k)+WNk F2(k)
Question 10
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Which of the following is true regarding the number of computations required to compute DFT at any one value of ‘k’?
4N-2 real multiplications and 4N real additions
4N real multiplications and 4N-4 real additions
4N-2 real multiplications and 4N+2 real additions
4N real multiplications and 4N-2 real additions
Explanation:
The formula for calculating N point DFT is given as