[THIS IS A PRESS RELEASE]
By: Eunice Jean C. Patron
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The plot of a time-frequency shifted Gausssian function, an example of a wavelet. A substantial effort in harmonic analysis is devoted to the decomposition of signals in terms of wavelets. (Photo credit: Dr. Arvin Lamando) |
Mathematicians Dr. Arvin Lamando of the University of the Philippines – Diliman College of Science’s Institute of Mathematics (UPD-CS IM) and Dr. Henry McNulty of the Norwegian University of Science and Technology have found a new way to understand mathematical “machines” called operators, which are key to quantum mechanics and signal processing. Their study shows that even the most intricate of these operators can be broken down into simpler parts and then reconstructed, offering new insights into quantum systems and technologies.
