@inproceedings{24f5829a31944aaba20d75034ef13ce1,
title = "Spectral kurtosis statistics of quantized signals",
abstract = "We investigate the bias of the Spectral Kurtosis Estimator induced by the quantization and bit truncation of the accumulated spectral power, which are standard signal manipulation operations performed by radio astronomy instruments that produce Power Spectral Density (PSD) estimates by means of sequential Discret Fourier Transform (DFT) operations. We demonstrate that these bias may be properly accounted for by adjusting the shape parameter of the Gamma distribution according to which the accumulated PSD estimates are expected to be distributed without quantization. To demonstrate the validity of this approach, we test the performance of an empirically tuned SK estimator using 2-bit auto-correlation data produced by the Parkes telescope.",
keywords = "RFI, Spectral Kurtosis",
author = "Gelu Nita and Dale Gary and Gregory Hellbourg",
note = "Funding Information: This work was supported by NSF grant AST-1615807, AFOSR grant FA9550-14-1-0336, and NASA grant NNX14AK66G to New Jersey Institute of Technology Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 Radio Frequency Interference, RFI 2016 ; Conference date: 17-10-2016 Through 20-10-2016",
year = "2017",
month = jan,
day = "25",
doi = "10.1109/RFINT.2016.7833535",
language = "English (US)",
series = "Proceedings of 2016 Radio Frequency Interference: Coexisting with Radio Frequency Interference, RFI 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "75--80",
booktitle = "Proceedings of 2016 Radio Frequency Interference",
address = "United States",
}