{'fraction_non_alphanumeric': 0.0289193302891933, 'fraction_numerical': 0.0, 'mean_word_length': 5.266666666666667, '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 novel method for extraction of in-pulse feature of LFM signal

Aiming at the shortly SNR capability of wavelet-ridge in extracting in-pulse features of LFM signal, in this paper, a time-frequency associated analyzed method based on wavelet transform and time-frequency reassignment is proposed‥ The method is based on LFM's wavelet scalogram, and combined with time-frequency reassignment and time-frequency ridge. With the help of time-frequency reassignment in improving the time-frequency agglomeration of representations, the SNR capability of wavelet-ridge is enhanced. The result of the emulation experiments approved the feasibility of this method.