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In this paper, a simple and robust combination of architecture and training strategy is proposed for a radial basis function network (RBFN). The proposed network uses a normalised Gaussian kernel architecture with kernel centres randomly selected from a training data set. The output layer weights are adapted using the numerically robust Householder transform. The application of this normalised radial...
This paper examines radar sea clutter data using the correlation integral. The properties of the sea clutter data sets are investigated for different polarisation, range gates, data length, wind speeds and also for pulse compressed and non pulse compressed data.
A way of statistically testing for nonlinearity in a time-series is to employ the method of surrogate data. This method often makes use of the Fourier transform (FT) in order to generate the surrogate. As various authors have shown, this can lead to artefacts in the surrogates and spurious detection of nonlinearity can result. This paper documents a new method to synthesize surrogate data using a...
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