Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Techniques for inferring a regular language, in the form of a finite automaton, from a sufficiently large sample of accepted and nonaccepted input words, have been employed to cons...
Recent work has demonstrated the effectiveness of the wavelet decomposition in reducing large amounts of data to compact sets of wavelet coefficients (termed "wavelet synopse...
—With single-carrier frequency-domain equalization (SC-FDE), the carrier-frequency offset (CFO) and samplingfrequency offset (SFO) are embedded in the phase rotations of the comp...
While traditional graphics techniques provide for the realistic display of three-dimensional objects, these methods often lack the flexibility to emulate expressive effects found ...
Peter-Pike J. Sloan, William Martin, Amy Gooch, Br...