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← Language & CommunicationIn a noisy communication channel transmitting Huffman-encoded data, which error correction coding strategy effectively balances added redundancy with improved decoding accuracy without exceeding the channel capacity?
A)Maximize code symbol differentiation only
B)Use fixed-length block codes only
C)Ignore symbol probabilities completely
D)Employ unequal error protection coding✓
💡 Explanation
Unequal error protection coding allocates more redundancy to the most significant bits of the Huffman-encoded data, where bit errors have a greater impact on the decoded message. Because this prioritizes protecting crucial information, it maximizes resilience while minimizing the overall redundancy, therefore preventing the channel capacity from being exceeded, rather than applying uniform or insufficient error correction.
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