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In this paper, we introduce the concept of nonsystematic turbo codes and compare them with classical systematic turbo codes. Nonsystematic turbo codes can achieve lower error floors than systematic turbo codes because of their superior effective free distance properties.
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In this paper we introduce a new coding scheme - so-called laminated turbo codes. It is characterized by a block-convolutional structure that enables us to combine the advantages of a convolutional encoder memory and a block-oriented decoding method. We show that this block-convolutional structure is superior in terms of its error correction capability
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