Abstract
The speed with which clinical magnetic resonance imaging (MRI) systems spread throughout the world was phenomenal. Coherent wavelets allow for a unified model of the multichannel perfect reconstruction analysis-synthesis filter bank of high resolution radar imaging and MRI. The geometric quantization construction of matched bank filters depends upon the Kepplerian spatiotemporal strategy which succeeds in the synchronous and stroboscopic summation over phase histories in local frequency encoding channels. The Kepplerian planetary clockwork of quantum holography is implemented in symplectic affine planes by Fourier analysis of the Heisenberg nilpotent Lie group G, and the associated reconstructing symbolic calculus on the selected energetic stratum of the unitary dual G or the quantized calculus of the C*-algebra of G. The neural network performed by quantum holograms allows for localization of cortical activations of the human brain.
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Schempp, W. (1997). Wavelet Modelling of High Resolution Radar Imaging and Clinical Magnetic Resonance Tomography. In: Nürnberger, G., Schmidt, J.W., Walz, G. (eds) Multivariate Approximation and Splines. ISNM International Series of Numerical Mathematics, vol 125. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8871-4_21
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DOI: https://doi.org/10.1007/978-3-0348-8871-4_21
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