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In this paper we present a new method for separating non-stationary sources from their convolutive mixtures based on approximate joint diagonalizing of the observed signals' cross-spectral density matrices. Several blind source separation (BSS) algorithms have been proposed which use approximate joint diagonalization of a set of scalar matrices to estimate(More)
In this paper, we show that an NPR M-channel filter bank with a diagonal system inserted between the analysis and synthesis filter banks may be used to decompose an FIR system of order L into M complex subband components each of order L K , where K is the downsampling rate. This decomposition is at the expense of using complex arithmetic for the subband(More)
This paper proposes a novel wideband structure for array signal processing. A new interpolation model is formed where the observations are linear functions of the source amplitudes, but nonlinear in the direction of arrival (DOA) parameters. The interpolation model also applies to the narrowband case. The proposed method lends itself well to a Bayesian(More)
Vacuum ultraviolet photodissociation of peptide ions in a matrix assisted laser desorption ionization (MALDI) tandem time-of-flight (TOF) mass spectrometer is used to characterize peptide mixtures derived from Deinococcus radiodurans ribosomal proteins. Tryptic peptides from 52 proteins were separated by reverse-phase liquid chromatography and spotted onto(More)
OBJECTIVE To develop a high performance machine learning (ML) approach for predicting the age and consequently the state of brain development of infants, based on their event related potentials (ERPs) in response to an auditory stimulus. METHODS The ERP responses of twenty-nine 6-month-olds, nineteen 12-month-olds and 10 adults to an auditory stimulus(More)
We propose here a new concept of peptide detectability which could be an important factor in explaining the relationship between a protein's quantity and the peptides identified from it in a high-throughput proteomics experiment. We define peptide detectability as the probability of observing a peptide in a standard sample analyzed by a standard proteomics(More)