Scientific Research Publishing

An Explainable Wavelet-Based Feature Decomposition and Machine Learning Framework for Land ...

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 ...
Frontiers

Spiking neural networks for EEG signal analysis using wavelet transform

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 ...
IEEE

Feature Extraction Using Wavelet Transform for Radar Emitter Signals

Abstract: In this paper, an approach for intra-pulse feature extraction of radar emitter signals is proposed based on wavelet transform. On the basis of the multi-resolution characteristics of wavelet ...
IEEE

Feature Extraction Using Radon, Wavelet and Fourier Transform

Abstract: In this paper, we propose a novel descriptor for invariant pattern recognition by using the Radon transform, the wavelet transform, and the Fourier transform. The Radon transform can capture ...
Frontiers

Intelligent Extraction of Salient Feature From Electroencephalogram Using Redundant ...

At present, electroencephalogram (EEG) signals play an irreplaceable role in the diagnosis and treatment of human diseases and medical research. EEG signals need to be processed in order to reduce the ...
Scientific Research Publishing

On a Feature Extraction and Classification Study for PPG Signal Analysis ()

Photoplethysmography (PPG) is a low cost, non-invasive optical technology to detect the volumetric changes of blood circulation at the surface of skin. While the medical indication of components of ...