% R peaks in the ECG waveform. The MODWT is an undecimated wavelet % transform, which handles arbitrary sample sizes. % perform MODWT for 6 different scales. The rows of wt give the wavelet ...

The goal of this experiment is to understand the capabilities of wavelet transforms in detecting frequency changes and analyzing the relationships between two signals. We will construct two signals ...

Abstract: This article analyzes the impact of wavelet transform parameters on the accuracy of object detection in vehicle images with different defects. The parameters include the type of wavelet and ...

Wavelet transform techniques have emerged as a powerful tool for analysing signals whose spectral content varies over time. By decomposing a signal into scaled and translated versions of a ...

Representing images in ways other than pixels allows for powerful processing. This subject, based on signal processing, requires a mathematical fluency to understand the concepts fully. Many software ...

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: High-frequency induction logging is a crucial technique in subsurface exploration, particularly in the oil and gas industry. It involves transmitting electromagnetic signals into the ground ...