Search Results for "visualize"

DDMaker perform local density analysis and generates pseudocolor maps of the spatial distribution of imaged cellular structures in 2D images, starting from either RGB color, grey level or binary images. DDMaker local density analysis permit to selectively denoise the signal, visualize and quantify its distribution and threshold the image basing on local density.

LIPRAS v466 LIPRAS [LEEP-ruhs], short for Line-Profile Analysis Software, is a graphical user interface for least-squares fitting of Bragg peaks in powder diffraction data. For any region of the inputted data, user can choose which profile functions to apply to the fit, constrain profile functions, and view the resulting fit in terms of the profile functions chosen. If you use LIPRAS for your research, please cite it: Giovanni Esteves, Klarissa Ramos, Chris M. Fancher, and Jacob L....

This toolbox is used to generate finite abstractions of autonomous Max-Plus-Linear (MPL) systems over R^n. Abstractions are characterized as finite-state Labeled Transition Systems (LTS). The LTS finite abstractions are shown to either simulate or to bisimulate the original MPL system. LTS models are to be verified against given specifications expressed as formulae in Linear Temporal Logic (LTL) and Computation Tree Logic (CTL). The toolbox intends to leverage the NuSMV model checker. Models...

...EyeBallGUI displays a set of time-series signals in a MATLAB Figure window, allowing the user to visually inspect and interact with the data via the mouse and keyboard in order to mark data as bad/rejected. The tool can be used to visualize a wide range of data types to make any kind of binary decision about segments of data. However, the motivation for the tool is to facilitate the visualization of multi-channel EEG data for the purpose of artefact rejection. EyeBallGUI is based in MATLAB® and works in Microsoft Windows. Proficiency in MATLAB is not required to use EyeBallGUI. ...

Matlab tool for plotting multi-channel biomedical signals. It is designed for researchers on both engineering and medicine who have to collaborate to visualize and analyze signals. It is the ideal tool to plot electroencephalogram (EEG), Foetal Heart Rate (FHR) and many other signals with the standard tools used in clinical routine.

Obsolete project - archived at https://github.com/darrenleeweber/bioelectromagnetism This is a public release of a Matlab toolbox for working with data from electroencephalography (EEG/ERP) and magnetic resonance imaging (MRI). It contains functions to process and visualize ERP/MRI data and associated electrode positions.