{'fraction_non_alphanumeric': 0.01391304347826087, 'fraction_numerical': 0.0, 'mean_word_length': 5.857142857142857, '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}}
Statistical performance comparison of a parametric and a non-parametric method for IF estimation of random amplitude linear FM signals in additive noise

This paper presents a statistical performance comparison between the cyclic moments-based and Wigner-Ville distribution-based instantaneous frequency estimators for linear FM signals in real valued multiplicative and complex-valued additive noise. Theoretical results are used to compare the performance of the estimation algorithms over a wide range of conditions. Simulation results confirm our theoretical derivations.