{'fraction_non_alphanumeric': 0.020378457059679767, 'fraction_numerical': 0.0, 'mean_word_length': 5.615384615384615, '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}}
A modified constrained stability-least mean square algorithm and its application in chaos communication

The constrained stability-least mean square (CSLMS) provides faster convergence speed and higher flexibility than the normalized least mean square (NLMS) by minimizing the Lagrangian function under a constraint stability update condition. In this paper, a modified CSLMS is proposed by adaptively adjusting step size according to a nonlinear function based on error signal. The modified CS-LMS is then applied to perform chaos communication. Simulation results show that the proposed novel CS-LMS can effectively recover information signals, and outperform the other LMS algorithms.