Translation-invariant data visualization with orthogonal discrete wavelets
Orthogonal discrete wavelet transforms can be made translation-invariant by adding redundant wavelet coefficients through repeated shifting operations. Orthogonality is lost, but isometry and compact time support can be preserved. The practical application to data visualization of scalograms based on such transforms is discussed and illustrated with measured transient signals.