We then perform spatial subband/wavelet coding/decoding of the temporal prediction residue, Finally, we approximately invert the displacement information to obtain the decoded frames, where uk,l is ...

Astroimager Adam Block describes how wavelets can be a powerful tool for your image processing.

This paper is concerned with the construction and analysis of wavelet-based adaptive algorithms for the numerical solution of elliptic equations. These algorithms approximate the solution u of the ...

Mathematical transforms can be a great help in understanding signals. Imaging trying to look at a complex waveform and figuring out the frequency components without the Fourier transform. [Artem Ki… ...

In an increasingly data-driven world, mathematical tools known as wavelets have become an indispensable way to analyze and understand information. Many researchers receive their data in the form ...

We attempt to recover a function of unknown smoothness from noisy sampled data. We introduce a procedure, SureShrink, that suppresses noise by thresholding the empirical wavelet coefficients. The ...

Yves Meyer, a French mathematician who did pioneering work on a signal processing tool known as wavelet analysis, has won the Abel Prize, one of the top math prizes.