Step 1: Using Shannon's Capacity Formula
Shannon's theorem states that the maximum channel capacity \( C \) is given by:
\[
C = B \log_2 (1 + SNR)
\]
where:
- \( B \) is the bandwidth (4 KHz),
- \( SNR \) is the signal-to-noise ratio, given in dB as:
\[
SNR_{linear} = 10^{\frac{SNR_{dB}}{10}}
\]
Step 2: Calculating the Linear SNR
Given \( SNR_{dB} = 20 \), we convert it to linear form:
\[
SNR_{linear} = 10^{\frac{20}{10}} = 10^2 = 100
\]
Step 3: Computing Channel Capacity
\[
C = 4 \times 10^3 \times \log_2(1 + 100)
\]
\[
= 4 \times 10^3 \times \log_2(101)
\]
Using logarithm approximation:
\[
\log_2(101) \approx 6.658
\]
\[
C = 4 \times 6.658 \times 10^3
\]
\[
C \approx 26.6 \text{ kbits/s}
\]
Step 4: Evaluating the Options
- (A) Incorrect: 24.6 kbits/s is lower than the computed value.
- (B) Correct: 26.6 kbits/s matches the computed value.
- (C) Incorrect: 39.8 kbits/s is much higher than the actual capacity.
- (D) Incorrect: 20.2 kbits/s is lower than the correct answer.