Due to its conceptual simplicity and its proven effectiveness in real-time detection and removal of radio frequency interference (RFI) from radio astronomy data, the spectral kurtosis (SK) estimator is likely to become a standard tool of a new generation of radio telescopes. However, the SK estimator in its original form must be developed from instantaneous power spectral density estimates, and...

In prior work, the current authors investigated the use of optimization criteria for beamforming that exploit the non-Gaussianity of human speech. In particular, we examined beamforming algorithms designed to maximize the kurtosis or negentropy of the subband output of a generalized sidelobe canceller. These techniques, while effective, require making multiple passes through the data, and hence...

Abstract Mesokurtic projections are linear with null fourth cumulants. They might be useful data pre-processing tools when nonnormality, as measured by the cumulants, is either an opportunity or a challenge. Nonnull cumulants opportunities extreme kurtosis used to identify interesting nonnormal features, for example clusters and outliers. Unfortunately, this approach suffers from curse of dimen...