We have designed an adaptive essentially nonoscillatory (ENO)-wavelet transform for approximating discontinuous functions without oscillations near the discontinuities. Our approach is to apply the ...

This paper introduces new protocols for secure multiparty computation (MPC) leveraging Discrete Wavelet Transforms (DWTs) for computing nonlinear functions over large domains. By employing DWTs, the ...

The transform is similar to applying Fourier, but instead of decomposing to a series of infinite sine waves, wavelet transformation decomposes signals into finite functions that meet certain ...

Then wavelet analysis is the partitioning of functions into their atomic components. The wavelet transform has the beneficial features of the classical Fourier transform, but is free from some of ...

Python frameworks show extremely high computation performance for (Fast Fourier Transform) FFT -based algorithms executed on graphics processing units (GPUs). Thus, this paper presents a comparison of ...

This is the final article in a three-part series on wavelet energy absorption in direct hydrocarbon detection.

In this note, we observe that the dimension function associated with a wavelet system is the trace of the Gramian fibers of the shift-invariant system generated by the negative dilations of the mother ...

The relevance of developing new algorithms for diagnosing cardiovascular diseases is due to the fact that these diseases are the leading cause of death worldwide. One form of potential disease is an ...