Search Results for "localization"

iElectrodes is a free and open-source Matlab® toolbox to obtain intracranial electrode coordinates from MRI and CT images. Precise and reliable localization can be achieved fast and in a semiautomatic way with minimal user intervention. The toolbox works with ECoG (subdural grids and strips) and SEEG (depth) electrodes. The new GridFit algorithm can precisely localize high-density electrodes (up to 3mm). Brain parcellations (atlas) and surfaces can be imported to aid 2D and 3D visualization and anatomical localization can be done in native or normalized space. ...

ExpSuite is a software framework for applications to perform psychoacoustical experiments. ExpSuite allows acoustic and electric stimulation for normal hearing and cochlear implant listeners, respectively.

The auditory modeling toolbox (AMT) is a Matlab/Octave toolbox for the development and application of auditory computational models. Over 50 auditory models implemented in Matlab, Octave, C, C++, and Python can be run from Matlab and Octave, on Windows and Linux. The AMT provides a well-structured in-code documentation, includes auditory data required to run the models. It integrates functionality to reproduce the model predictions. Model implementations can be evaluated in two stages,...

...The toolbox also supports mobile robots with functions for robot motion models (unicycle, bicycle), path planning algorithms (bug, distance transform, D*, PRM), kinodynamic planning (lattice, RRT), localization (EKF, particle filter), map building (EKF) and simultaneous localization and mapping (EKF), and a Simulink model a of non-holonomic vehicle. The Toolbox also includes a detailed Simulink model for a quadrotor flying robot.

This package of MATLAB routines with accompanying GUI allows scientific users to measure the 3D location of single molecules when using the double-helix point spread function (DH-PSF) widefield microscope. Version 2 also includes code that facilitates combining localization data from two spectral channels using a locally-weighted quadratic 3D registration function Features - Double-Gaussian estimator is calibrated via an axial scan of bright immobile fluorescent emitters (e.g. beads) - DH localization is performed through template matching and subsequent double Gaussian fitting - Tiff stacks of SM images are analyzed using template matching followed by double-Gaussian fitting to extract estimates of the molecule positions - Two spectral channels are registered by generating a locally-weighted quadratic mapping function from control point pairs

MATLABRobotics is a collection of robotics-related algorithms and simulation tools implemented in MATLAB. The repository brings together a wide range of robotics functionality, including path planning, control, localization, and mapping. It provides practical algorithmic implementations such as A*, RRT, Kalman filters, particle filters, and SLAM, making it a valuable resource for students, researchers, and developers learning or prototyping robotics applications. The code is written to be accessible and easy to adapt, enabling experimentation with both classical and modern robotics techniques. ...

Advanced detection, classification and localization (DCL) of marine mammals and passive acoustic monitoring (PAM). Code is being developed as Matlab routines, interfaces for Ishmael (http://www.bioacoustics.us/ishmael.html), and in other formats.

...Perform a phase retrieval algorithm based on maximum likelihood estimation (MLE) of a phase aberration term which is added to the theoretical pupil function of the imaging system. 3. Use the phase-retrieved pupil function to perform single-emitter localization. Accompanying publication available here: https://doi.org/10.1364/OE.25.007945

This project hosts the code and the documents which were created by Francesco Montorsi during his PhD at the University of Modena and Reggio Emilia, Italy, about indoor and outdoor localization and navigation techniques. The code (mostly MATLAB code) is publicly available to enable reproducible research.