Question 31 : What is the mantissa and exponent respectively obtained when we add 5 and 3/8 in binary float point representation?
1. 0.101010,011
2. 0.101000,011
3. 0.101011,011
4. 0.101011,101
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Question 32 : What is the abbreviation of SQNR?
1. Signal-to-Quantization Net Ratio
2. Signal-to-Quantization Noise Ratio
3. Signal-to-Quantization Noise Region
4. Signal-to-Quantization Net Region
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Question 33 : For a twos complement representation, the truncation error is:
1. Always positive
2. Always negative
3. Zero
4. None of the mentioned
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Question 34 : If M and N are the orders of numerator and denominator of rational system function respectively, then how many additions are required in direct form-I realization of that IIR filter?
1. M+N-1
2. M+N
3. M+N+1
4. M+N+2
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Question 35 : If E=0 and M=0, then which of the following statement is true about X?
1. Not a number
2. Infinity
3. Defined
4. Zero
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Question 36 : In DM, further the two integrators at encode are replaced by one integrator placed before comparator, and then such system is called?
1. System-delta modulation
2. Sigma-delta modulation
3. Source-delta modulation
4. None of the mentioned
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Question 37 : What is the configuration of system for digital processing of an analog signal?
1. Analog signal|| Pre-filter ->D/A Converter -> Digital Processor -> A/D Converter -> Post-filter
2. Analog signal|| Pre-filter ->A/D Converter -> Digital Processor -> D/A Converter -> Post-filter
3. Analog signal|| Post-filter ->D/A Converter -> Digital Processor -> A/D Converter -> Pre-filter
4. None of the mentioned
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Question 38 : A single input-single output system and its transpose have identical impulse responses and hence the same input-output relationship.
1. True
2. False
3.
4.
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Question 39 : In general, a digital system designer has better control of tolerances in a digital signal processing system than an analog system designer who is designing an equivalent analog system.
1. True
2. False
3.
4.
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Question 40 : In the mathematical model for the quantization error e_q (n), to carry out the analysis, what are the assumptions made about the statistical properties of e_q (n)?
 1. The error e_q (n) is uniformly distributed over the range — ∆ /2 < e_q (n) < ∆ /2.
 2. The error sequence is a stationary white noise sequence. In other words, the error e_q (m) and the error e_q (n) for m≠n are uncorrelated.
 3. The error sequence {e_q (n)} is uncorrelated with the signal sequence x(n).
 4. The signal sequence x(n) is zero mean and stationary.
1. 1, 2 & 3
2. 1,2,3,4
3. 1, 3
4. 2, 3, 4
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