{'fraction_non_alphanumeric': 0.016474464579901153, 'fraction_numerical': 0.019769357495881382, 'mean_word_length': 4.846153846153846, '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}}
Extraction of Feature Photoacoustic Spectroscopy Probed by a Sensor against a Large Background Noise

An algorithm of independent component analysis from blind source separation domain is used and a Δλ-model strong-noise immunity is proposed in this work. The test results showed that maximal extraction error is respectively 0.28% and 3.7% under a SNR of 1/886 and an excellent agreementbetween the numerical simulation and the actual detection value is found, and the detection limit of test sample is improved from 16 ppb with the model based on common linear equations to 2 ppb using the proposed model.