He has worked on applications of wavelet analysis to plastic surgery, creating software for facial recognition.

He is known especially for his work on time series analysis, especially spectral analysis and wavelet analysis.

He is area of research is in splines and wavelet numerical analysis.

Though more modern approaches such as wavelet analysis exist, the most common analytic approach uses Fourier analysis.

Using wavelet analysis to characterize the thermoregulatory mechanisms of sacral skin blood flow.

The techniques often use tools such as principal components or wavelet analysis.

Such methods might include advances in wavelet analysis, higher-dimensional methods and inverse scattering.

The most modern method, wavelet multi-resolution analysis, is more efficient, but still very costly.

In wavelet analysis, this is commonly referred to as the Longo phenomenon.

He is also interested in multimedia, image and video processing, artificial neural networks, computer vision, and wavelet analysis.