Applications of Level Crossing Theory to Clipping Noise Characterization in Filtered OFDM Signals
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Bibliographic record
Abstract
This paper applies the level crossing rate (LCR) and average fade duration (AFD) analysis to characterize clipping noise in filtered OFDM signals. Because orthogonal frequency division multiplexing (OFDM) signals exhibit complex Gaussian process behavior, well established results for the Rayleigh enve- lope of the correlated Gaussian process are used to derive the LCR and AFD statistics of the OFDM signal at the output of a square-root raised cosine shaping filter. The LCR and AFD information is then used to determine the statistics of the OFDM signal that passes through a soft-limiter, approximating at the baseband high power amplifier (HPA) memory-less nonlinearity. Simulation results corroborate theoretical derivations for the LCR and AFD statistics in real OFDM signals. The results obtained are important in predicting the clipping noise impact on the in-band and adjacent channel interference.
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Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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