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- W2955320354 abstract "The problem of high peak-to-average power ratio of transmission signals is a major drawback in the orthogonal frequency division multiplexing system. Thus, we proposed a generalized turbo signal recovery (GTurbo-SR) algorithm for clipping estimation by using reliably detected sub-carriers to solve the abovementioned problem. In particular, clipping signals are sparse, and elements can be modeled as a Gaussian mixture distribution. The corresponding prior knowledge is learned through expectation maximization using GTurbo-SR to implement an expectation step. Numerical experiment results demonstrate that the proposed technique achieves a significant performance improvement in terms of signal recovery accuracy and agreement of theoretical analysis with state evolution." @default.
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- W2955320354 date "2019-12-01" @default.
- W2955320354 modified "2023-09-24" @default.
- W2955320354 title "OFDM-Clipped Signal Recovery and Learning Using Gaussian Mixture GTurbo Approach" @default.
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- W2955320354 doi "https://doi.org/10.1109/lwc.2019.2926260" @default.
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