Spectral kurtosis statistics of quantized signals

Gelu Nita, Dale Gary, Gregory Hellbourg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationProceedings of 2016 Radio Frequency Interference
Subtitle of host publicationCoexisting with Radio Frequency Interference, RFI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509062010
StatePublished - Jan 25 2017
Event2016 Radio Frequency Interference, RFI 2016 - Socorro, United States
Duration: Oct 17 2016Oct 20 2016

Publication series

NameProceedings of 2016 Radio Frequency Interference: Coexisting with Radio Frequency Interference, RFI 2016


Other2016 Radio Frequency Interference, RFI 2016
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Radiation


  • RFI
  • Spectral Kurtosis


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