Abstract
Central limit theorem, modern extreme value theory and the theory that the discrete multitone (DMT) signal converges weakly to a Gaussian random process are employed to derive perfect approximations of peak-to-average envelope power ratio (PAR) distributions of discrete-time and continuous-time DMT signals. Analysis and simulation results show that the PAR problem of DMT is more deteriorative than that of complex-valued OFDM signals.
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