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.

In this paper we propose a new perspective related to Lucas sequence with statistical and summability, some considerations have been given in connection with their applications of signal processing.

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 ...

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.

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 ...

The combination of electrophysiology and electrochemistry acquisition methods using a single carbon fiber microelectrode (CFM) in the brain has enabled more extensive analysis of neurochemical release ...

Functional MRI (fMRI) has become a popular technique to study brain functions and their alterations in psychiatric and neurological conditions. The sample sizes for fMRI studies have been increasing ...

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 ...

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 ...

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 ...