Time-frequency analysis has emerged as a vital tool in understanding signals and systems by providing simultaneous information about a signal’s temporal and spectral features. This field has led to ...

Representing images in ways other than pixels allows for powerful processing. This subject, based on signal processing, requires a mathematical fluency to understand the concepts fully. Many software ...

Recent applied mathematics research on the properties of the invertible shift-invariant discrete wavelet transform has produced new ways to visualize, separate, and synthesize impulsive sounds, such ...

Consider the situation when we have training data containing many time series having known group membership and testing data with unknown group membership. The goals are to find timescale features ...