Question:

The number of bits per sample in a PCM system with sinusoidal input is increased from n to n+1. The improvement in signal to quantization noise ratio will be

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For PCM, SQNR (in dB) \(\approx 1.76 + 6.02n\), where \(n\) is the number of bits per sample.
Each additional bit used for quantization increases the SQNR by approximately 6 dB. This means doubling the number of quantization levels (by adding 1 bit) quadruples the SQNR power ratio (\(10 \log_{10} 4 \approx 6.02\)).
Updated On: May 22, 2025
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The Correct Option is D

Solution and Explanation

In a Pulse Code Modulation (PCM) system, the signal-to-quantization noise ratio (SQNR) for a full-scale sinusoidal input, when \(n\) bits are used per sample, is approximately given by: \[ \text{SQNR (dB)} \approx 1.76 + 6.02n \] where \(n\) is the number of bits per sample. This formula shows that for each additional bit used in quantization, the SQNR improves by approximately 6.02 dB (often rounded to 6 dB). Let SQNR\(_1\) be for \(n\) bits: SQNR\(_1 \approx 1.76 + 6.02n\). Let SQNR\(_2\) be for \(n+1\) bits: SQNR\(_2 \approx 1.76 + 6.02(n+1) = 1.76 + 6.02n + 6.02\). The improvement in SQNR is: Improvement = SQNR\(_2\) - SQNR\(_1\) Improvement \(\approx (1.76 + 6.02n + 6.02) - (1.76 + 6.02n)\) Improvement \(\approx 6.02 \text{ dB}\). Rounding to the nearest integer or common approximation, this is 6 dB. This "6 dB per bit" rule is a well-known characteristic of PCM systems. \[ \boxed{6 \text{ dB}} \]
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