{'fraction_non_alphanumeric': 0.02335456475583864, 'fraction_numerical': 0.0, 'mean_word_length': 5.378378378378378, '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}}
An ideal OMP based complex-time distribution

A method that provides an ideal sparse time-frequency representation, for signals with an incomplete set of samples, is proposed. It is based on the complex-time auto-correlation function and signal reconstruction algorithm performed using the orthogonal matching pursuit. The proposed method is tested on signal with fast-varying instantaneous frequency, showing remarkable performance even for a small set of input samples.