Digital Signal Processing Mock Test 9

10%

Question 1 of 10

1. If A=\(\frac{-Ω_1^2+Ω_u Ω_l}{Ω_1 (Ω_u-Ω_l)}\) and B=\(\frac{Ω_2^2-Ω_u Ω_l}{Ω_2 (Ω_u-Ω_l)}\), then which of the following is the backward design equation for a low pass-to-band pass transformation?

Ω_S=|A|

Ω_S=Min{|A|,|B|}

Ω_S=|B|

Ω_S=Max{|A|,|B|}

Question 1 of 10

Question 2 of 10

2. Which of the following has to be performed in sampling rate conversion by rational factor?

Interpolation

Decimation

None of the mentioned

Either interpolation or decimation

Question 2 of 10

Question 3 of 10

3. Which of the following conditions are in the favor of Pade approximation method?

Desired system function is rational & Prior knowledge of the number of poles and zeros

None of the mentioned

Prior knowledge of the number of poles and zeros

Desired system function is rational

Question 3 of 10

Question 4 of 10

4. Which of the following parameters are selected to minimize the sum of squares of the error sequence?

{a_k}

{b_k}

{b_k} & {a_k}

None of the mentioned

Question 4 of 10

Question 5 of 10

5. What is the magnitude squared response of the normalized low pass Butterworth filter?

1+Ω^2N

\(\frac{1}{1+Ω^{-2N}}\)

1+Ω^-2N

\(\frac{1}{1+Ω^{2N}}\)

Question 5 of 10

Question 6 of 10

6. The choice of T_d(ω_k) for error in delay is complicated.

True

False

Question 6 of 10

Question 7 of 10

7. What is the general formula that represent the phase of the poles of transfer function of normalized low pass Butterworth filter of order N?

\(\frac{π}{N} k+\frac{π}{2N}\) k=0,1,2...2N-1

\(\frac{π}{N} k+\frac{π}{2N}+\frac{π}{2}\) k=0,1,2...2N-1

\(\frac{π}{N} k+\frac{π}{2N}\) k=0,1,2...N-1

\(\frac{π}{N} k+\frac{π}{2N}+\frac{π}{2}\) k=0,1,2...N-1

Question 7 of 10

Question 8 of 10

8. Which of the following criterion can be used to optimize the M+1 filter coefficients?

Pade approximation method

Least squares error criterion & Pade approximation method

None of the mentioned

Least squares error criterion

Question 8 of 10

Question 9 of 10

9. If δ(n) is the input, then what is the ideal output of y_d(n)?

None of the mentioned

δ(n)

u(n)

Question 9 of 10

Question 10 of 10

10. What should be the desired response for an optimum wiener filter to be an approximate inverse filter?

none of the mentioned

u(n)

u(-n)

δ(n)

Question 10 of 10