wavelets appear
analyzing wavelets
wavelet transform
wavelets detected
extracting wavelets
wavelet filter
complex wavelets
wavelets used
small wavelets
generate 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.
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