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 ...

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 ...

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 ...

Abstract: The critical identification and subsequent therapeutic treatment of cardiac diseases requires a correct categorization of ECG signals. The presented feature of separating data is highly ...

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 ...

1 Department of Geomatic Engineering, University of Mines and Technology, Tarkwa, Ghana. 2 Department of Geomatic and Civil Engineering, University of Mines and Technology, Essikado, Ghana. Accurate ...