About this Research Topic
Wavelets are mathematical functions that cut up data into different frequency components, and then study each component with a resolution matched to its scale. They are now being adapted for a vast number of signal processing due to their unprecedented success in terms of asymptotic optimality, spatial adaptivity and computational efficiency. In analytical chemistry, they have increasingly shown great applicability and have been preferred over existing signal processing algorithms in noise removal, resolution enhancement, data compression and chemometrics modeling in chemical studies.
We encourage spectroscopic studies focused on the application of chemometrics, in particular wavelet transform, for pharmaceutical and biomedical analysis. The submission of all article types is welcomed in the specialty section Analytical Chemistry.
Keywords: Chemometrics, Wavelet Transform, Pharmaceutical Analysis, Biomedical Analysis, Spectroscopy
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.