This paper provides a dual domain derivation of the error exponent of maximum mutual information (MMI) decoding with constant composition codes, showing it coincides with that of maximum likelihood decoding for discrete memoryless channels. The analysis is further extended to joint source-channel coding, demonstrating that the generalized MMI decoder achieves the same random coding error exponent as the maximum a posteriori decoder.

翻译：本文通过双域推导方法，给出了恒定组成码在最大互信息解码下的误差指数，证明其在离散无记忆信道中与最大似然解码的误差指数一致。该分析进一步推广至联合信源-信道编码场景，证明广义最大互信息解码器能够达到与最大后验解码器相同的随机编码误差指数。