The lifting scheme offers a refined approach to implementing the Discrete Wavelet Transform (DWT) by decomposing traditional convolution-based filtering into a succession of simple, in-place ...

Abstract: Signal as a noise confined to small scales or high frequency can be removed preferentially from noisy signals if some prior information is available. According to the uncertainty principle, ...

Abstract: This study delves into two fault localization techniques in power transmission systems, specifically focusing on the Discrete Wavelet Transform (DWT) and the DifferentiatorSmoother (DS) ...

The Wavelet Transform Modulus Maxima (WTMM) method is a powerful tool in signal processing and fractal analysis. It allows for the detection of singularities in signals—points where the signal behaves ...

Abstract: Photoacoustic tomography (PAT) provides high-contrast, high-resolution biomedical images at rapid speeds. However, the quality of these images is highly sensitive to sampling density. Sparse ...