{'fraction_non_alphanumeric': 0.01486988847583643, 'fraction_numerical': 0.0, 'mean_word_length': 5.654320987654321, '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}}
Nonlinearity estimation in power amplifiers based on undersampled temporal data

In this paper we apply undersampling techniques to capture the temporal input-output relationship of RF power amplifiers. This approach avoids the distortion introduced by the upconverter and downconverter stages. We develop polynomial models with memory from the available data and evaluate its performance estimating device parameters like Adjacent power Ratio (ACPR) and AM-AM curves. The estimated parameters show good agreement with the empirical ones.