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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 | |