{'fraction_non_alphanumeric': 0.019851116625310174, 'fraction_numerical': 0.0, 'mean_word_length': 5.1603053435114505, '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}}
Line Search Computation of the Block Factor Model for Blind Multi-User Access in Wireless Communications

In this paper, we present a technique for the blind separation of DS-CDMA signals received on an antenna array, for a multi-path propagation scenario that generates inter-symbol-interference. Our method relies on a new third-order tensor decomposition, which is a generalization of the parallel factor model. We start from the observation that the temporal, spatial and spectral diversities give a third-order tensor structure to the received data. This tensor is then decomposed in a sum of contributions, where each contribution fully characterizes one user. We also present a line search scheme that greatly improves the convergence speed of the alternating least squares algorithm previously used