wavelets

we used wavelet analysis to denoise the medical images.

wavelet transforms are useful for signal compression.

the wavelet packet decomposition provided detailed frequency information.

researchers applied wavelet features for pattern recognition.

the wavelet coefficients revealed subtle changes in the data.

we compared wavelet methods with fourier analysis.

the wavelet algorithm efficiently detected edges in the image.

wavelet-based techniques are popular in image processing.

the wavelet scaling function determined the wavelet's properties.

we implemented a multi-resolution wavelet transform.

the wavelet filter effectively removed noise from the signal.