{'fraction_non_alphanumeric': 0.02356902356902357, 'fraction_numerical': 0.0, 'mean_word_length': 6.2560975609756095, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Block-based precoding for serially concatenated codes

Precoders have been shown to facilitate iterative decoding convergence towards the maximum likelihood (ML) performance in serially concatenated schemes. In this letter, we propose a novel block-based precoder as an alternative to classic convolutional precoders. Furthermore, we demonstrate that the proposed block-based precoder facilitates operation at significantly reduced channel Signal to Noise Ratios (SNRs) in practical schemes, having limited latencies, as well as limited implementational and computational decoding complexities.