Explore topic-wise MCQs in Digital Signal Processing.

This section includes 8 Mcqs, each offering curated multiple-choice questions to sharpen your Digital Signal Processing knowledge and support exam preparation. Choose a topic below to get started.

1.

In the equation SQNR = 6.02b + 16.81 (20log_{10} frac{R}{ _x} ), for R = 6 x the equation becomes?

A. SQNR = 6.02b-1.25 dB
B. SQNR = 6.87b-1.55 dB
C. SQNR = 6.02b+1.25 dB
D. SQNR = 6.87b+1.25 dB
Answer» D. SQNR = 6.87b+1.25 dB
2.

By combining ( Delta= frac{R}{2^{b+1}} ) with (P_n= sigma_e^2= Delta^2/12 ) and substituting the result into SQNR = 10 (log_{10} frac{P_x}{P_n} ), what is the final expression for SQNR = ?

A. 6.02b + 16.81 + (20log_{10} frac{R}{ _x} )
B. 6.02b + 16.81 (20log_{10} u2061 frac{R}{ _x} )
C. 6.02b 16.81 (20log_{10} u2061 frac{R}{ _x} )
D. 6.02b 16.81 (20log_{10} u2061 frac{R}{ _x} )
Answer» C. 6.02b 16.81 (20log_{10} u2061 frac{R}{ _x} )
3.

If the quantization error is uniformly distributed in the range (- /2, /2), the mean value of the error is zero then the variance Pn is?

A. (P_n= sigma_e^2= Delta^2/12 )
B. (P_n= sigma_e^2= Delta^2/6 )
C. (P_n= sigma_e^2= Delta^2/4 )
D. (P_n= sigma_e^2= Delta^2/2 )
Answer» B. (P_n= sigma_e^2= Delta^2/6 )
4.

In the equation SQNR = 10 (log_{10} frac{P_x}{P_n} ), what are the expressions of Px and Pn?

A. (P_x= sigma^2=E[x^2 (n)] ,and , P_n= sigma_e^2=E[e_q^2 (n)] )
B. (P_x= sigma^2=E[x^2 (n)] ,and , P_n= sigma_e^2=E[e_q^3 (n)] )
C. (P_x= sigma^2=E[x^3 (n)] ,and , P_n= sigma_e^2=E[e_q^2 (n)] )
D. None of the mentioned
Answer» B. (P_x= sigma^2=E[x^2 (n)] ,and , P_n= sigma_e^2=E[e_q^3 (n)] )
5.

In the equation SQNR = 10 (log_{10} frac{P_x}{P_n} ). what are the terms Px and Pn are called ___ respectively.

A. Power of the Quantization noise and Signal power
B. Signal power and power of the quantization noise
C. None of the mentioned
D. All of the mentioned
Answer» C. None of the mentioned
6.

What is the expression for SQNR which can be expressed in a logarithmic scale?

A. 10 (log_{10} u2061 frac{P_x}{P_n} )
B. 10 (log_{10} u2061 frac{P_n}{P_x} )
C. 10 (log_2 u2061 frac{P_x}{P_n} )
D. 2 (log_2 u2061 frac{P_x}{P_n} )
Answer» B. 10 (log_{10} u2061 frac{P_n}{P_x} )
7.

If the input analog signal falls outside the range of the quantizer (clipping), eq (n) becomes unbounded and results in _____________

A. Granular noise
B. Overload noise
C. Particulate noise
D. Heavy noise
Answer» C. Particulate noise
8.

If the input analog signal is within the range of the quantizer, the quantization error eq (n) is bounded in magnitude i.e., |eq (n)| < /2 and the resulting error is called?

A. Granular noise
B. Overload noise
C. Particulate noise
D. Heavy noise
Answer» B. Overload noise