{'fraction_non_alphanumeric': 0.019083969465648856, 'fraction_numerical': 0.0, 'mean_word_length': 5.104651162790698, '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}}
Analytic quantization modeling of OFDM signals using normal Gaussian distribution

This paper presents a rigorous analytic approach for the quantization of OFDM signals. The signal-to-noise ratio at the ADC output is derived as a function of the input signal's standard deviation and the ADC input range. Furthermore, the maximum signal-to-noise ratio is calculated for various ADC resolutions. The analytic results are verified by simulations applying an OFDM WLAN signal as well as normal distributed white Gaussian noise.