Modelling and identification of characteristic intensity variations
Image and Vision Computing
3-D Image Processing Algorithms
3-D Image Processing Algorithms
EURASIP Journal on Applied Signal Processing
Energy tensors: quadratic, phase invariant image operators
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
IEEE Transactions on Signal Processing
Energy separation in signal modulations with application to speechanalysis
IEEE Transactions on Signal Processing
Localized measurement of emergent image frequencies by Gabor wavelets
IEEE Transactions on Information Theory - Part 2
Multidimensional Systems and Signal Processing
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This paper introduces a new multi-dimensional higher order operator derived from the Teager-Kaiser energy-tracking function. A mathematical model which integrates different existing non-linear operators at any orders is constructed. The proposed non-linear continuous filter is computed using tensors provided by the Kronecker products of higher order derivatives of the signal. In particular, the introduced operator takes into account the diagonal directions through the partial derivatives. We prove that there is a recurrence relationship that allows us to deduce all functions at different orders. To show the effectiveness of the proposed operator, demodulation of noisy multi-dimensional amplitude-modulation (AM)-frequency-modulation (FM) signals are presented and results compared to those of some well-known demodulation approaches.