{'fraction_non_alphanumeric': 0.015330188679245283, 'fraction_numerical': 0.0, 'mean_word_length': 5.480916030534351, '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}}
Correction of Signal Distortion Resulting from Measurement Systems Limitation

Abstract: A generalized method for correcting dynamic characteristics of measurement systems is presented to reduce dynamic errors. The cause of dynamic errors is the sensor's frequency response limitation. One way of solving this problem is to make use of deconvolution. Since problems are ill-conditioned, a small uncertainty in the measurement will cause large deviation in reconstructed signals. The amplified noise has to be suppressed at the sacrifice of biasing in estimation. In this paper, the problem of dynamic characteristics correction is taken as solving stabilized solutions of Fredholm integral equations. Simulation result shows the validity of the method. A practical application of the method in dynamic calibration and data processing are described.