Abstract: In signal processing methods using second order statistics and / or power spectrum, phase relationships between frequency components are not considered. For this reason these methods are ...

Matlab code to generate a set of quantitative features from multichannel EEG recordings. Features include amplitude measures, spectral measures, and basic connectivity measures (across hemisphere's ...

We're looking at four popular alternatives to MATLAB: RunMat, Octave, Julia, and Python. Our comparison focuses on their speed, how well they integrate with other tools, and their suitability for real ...

The adoption of photovoltaic (PV) systems in modern electrical grids has expanded rapidly due to their economic and environmental benefits. However, these systems are prone to faults—such as partial ...

Abstract: Brain-Computer Interfaces (BCI), cognitive research, and medical diagnosis all make extensive use of electroencephalography (EEG) to analyze brain activity. However, issues with EEG signal ...

MATLAB and Simulink are two essential tools widely used in engineering, particularly in fields such as automotive, aerospace, control systems, and signal processing. MATLAB is a high-level programming ...

This tool is based off a previously published post-processing software. Use of this tool should be associated and cited with the following reference: E. Schrauben, A. Wåhlin, K. Ambarki, E. Spaak, J.

Fourier transform (FT) is one of the most widely used signal processing techniques. It enables a dual view of the time domain signal from the ‘frequency’ perspective. The two representations are ...

WPI's Center for Project-Based Learning helps other institutions prepare students for a successful future. Find out about the lifelong benefits of experiential, hands-on learning through project work.

This paper mainly studies the data characteristics of high order cumulants using digitally modulated signals, and constructs the identification feature parameters that can distinguish the signal ...

Multispectral optoacoustic tomography (MSOT) is a relatively new imaging modality, which combines optical contrast and ultrasonic resolution in order to provide a highly parametric view of an imaged ...