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 = ?

6.02b + 16.81 + \(20log_{10}\frac{R}{σ_x}\)

6.02b + 16.81 – \(20log_{10}⁡ \frac{R}{σ_x}\)

6.02b – 16.81 – \(20log_{10}⁡ \frac{R}{σ_x}\)

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

\(P_x=\sigma^2=E[x^2 (n)] \,and\, P_n=\sigma_e^2=E[e_q^2 (n)]\)

\(P_x=\sigma^2=E[x^2 (n)] \,and\, P_n=\sigma_e^2=E[e_q^3 (n)]\)

\(P_x=\sigma^2=E[x^3 (n)] \,and\, P_n=\sigma_e^2=E[e_q^2 (n)]\)

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

Power of the Quantization noise and Signal power

Signal power and power of the quantization noise

Explore topic-wise MCQs in Digital Signal Processing Questions and Answers.

This section includes 7 Mcqs, each offering curated multiple-choice questions to sharpen your Digital Signal Processing Questions and Answers knowledge and support exam preparation. Choose a topic below to get started.

1.	In the equation SQNR = 6.02b + 16.81 – \(20log_{10} ⁡\frac{R}{σ_x}\), for R = 6σx 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

Discussion

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 + \(20log_{10}\frac{R}{σ_x}\)
B.	6.02b + 16.81 – \(20log_{10}⁡ \frac{R}{σ_x}\)
C.	6.02b – 16.81 – \(20log_{10}⁡ \frac{R}{σ_x}\)
D.	6.02b – 16.81 – \(20log_{10}⁡ \frac{R}{σ_x}\)
Answer» C. 6.02b – 16.81 – \(20log_{10}⁡ \frac{R}{σ_x}\)

Discussion

3.	If the quantization error is uniformly distributed in the range (-Δ/2, Δ/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. \(P_n=\sigma_e^2=\Delta^2/6\)

Discussion

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. \(P_x=\sigma^2=E[x^2 (n)] \,and\, P_n=\sigma_e^2=E[e_q^3 (n)]\)

Discussion

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

Discussion

6.	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

Discussion

7.	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)\| < Δ/2 and the resulting error is called?
A.	Granular noise
B.	Overload noise
C.	Particulate noise
D.	Heavy noise
Answer» B. Overload noise

Discussion

Explore topic-wise MCQs in Digital Signal Processing Questions and Answers.

In the equation SQNR = 6.02b + 16.81 – \(20log_{10} ⁡\frac{R}{σ_x}\), for R = 6σx the equation becomes?

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 = ?

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

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

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

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

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)| < Δ/2 and the resulting error is called?