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Item type:Publication, Access status: with files , Machine learning for reliable communication under coarse quantization(2021-09-24); This thesis addresses the use of machine learning methods for reliable transmission despite coarsely quantized soft information at the receiver. In particular, the design of powerful error correction algorithms under coarse quantization is presented. This requires an interdisciplinary approach based on the interplay of information theory, machine learning, and communications engineering. A particular focus is put on the information bottleneck method. Interestingly, the designed coarsely quantized signal processing units achieve almost the same performance in terms of reliability as conventional non-quantized methods.Publicationtype: Doctoral Thesis365 1462