Haar wavelets are commonly used for simple and fast signal decomposition in image processing.

Researchers used the Haar wavelet to analyze sudden changes in the signal's amplitude.

The producer experimented with wavefolding to create harmonically rich textures from simple sawtooth waves.

The clinician examined the patient's wavegram to assess vocal fold contact patterns during phonation.

She archived the wavegrams from the coastal sensors to study seasonal swell changes.

The wavelessness of the glassy harbor made the lanterns' reflections look like painted strokes.

The research team deployed several waveblocks along the shoreline to study wave patterns.

The coastal engineers installed a waveblock along the harbor to protect the boats during storms.

Morlet wavelets are often used to analyze transient oscillatory events in EEG recordings.

The Morlet wavelet is widely used in time-frequency analysis because it offers an optimal trade-off between time and frequency localization.