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 ...
This project focuses on image fusion, a method used to combine multiple images of the same scene into a single, comprehensive version that is more informative than the originals. By employing the ...
The Discrete Wavelet Transform (DWT) has gained the reputation of being a very effective signal analysis tool for many practical applications. This paper presents an approach towards VLSI ...
Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI methods face two ...
Abstract: This paper proposes a novel methodology for high-resolution atmospheric characterization of exoplanets leveraging Wavelet-Transform Enhanced Synthetic Aperture Radar (WTE-SAR) combined with ...
In contrast to Fourier analysis, there exist an infinite number of discrete wavelet transform (DWT) basis signals. While most of these types of signals cannot be defined by analytical expressions, the ...
The experimental ultrasound data is always trained by measurement errors, internal and external noise. For this reason, it is always necessary to apply some signal processing operations, such as ...
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