Abstract: In this paper, a new method, combined with stationary wavelet transform and Gaussian Radial Basis Function Neural Networks (GRBFNN), is proposed for solving the problem of human gait ...
Abstract: 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 ...
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 ...
This is a preview. Log in through your library . Abstract We propose a generic bivariate hard thresholding estimator of the discrete wavelet coefficients of a function contaminated with i.i.d.
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