Open Source MATLAB Test and Measurement Software
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MATLAB Test and Measurement Software
View 123 business solutionsBrowse free open source MATLAB Test and Measurement Software and projects below. Use the toggles on the left to filter open source MATLAB Test and Measurement Software by OS, license, language, programming language, and project status.
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GNSS-SDR
An open source software-defined GNSS receiver
An open source software-defined Global Navigation Satellite Systems (GNSS) receiver written in C++ and based on the GNU Radio framework. -
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Orbit Determination Toolbox (ODTBX)
Advanced mission simulation and analysis tool
The Orbit Determination Toolbox (ODTBX) is developed by the Navigation & Mission Design branch at NASA Goddard Space Flight Center as an advanced mission simulation and analysis tool used for concept exploration, proposal, early design phase, and/or rapid design center environments. ODTBX functions and utilities are combined in a flexible architecture that allows for modular development of navigation algorithms and simulations. The core ODTBX functionality is realized through a set of estimation commands that incorporate Monte Carlo data simulation, linear covariance analysis, and measurement processing at a generic level. -
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Virtual Sound Level Meter
Virtual Sound Level Meter for analyzing calibrated sound files
This project is the MATLAB development of a virtual sound level meter. The program will read in a calibrated .wav file and allow the user to analyze it as one would analyze a sound field with a sound level meter. The software implements Fast, Slow, Impulse and LEQ; A, C and Flat Weighting; Ln and Noise Dose analysis; Octave and 1/3 Octave band analysis; high resolution FFT analysis and spectrograms. Band analysis can be made using fast FFT methods or slower, but ANSI standard methods. Source code requires MATLAB + Signal Processing Toolbox. Developed under MATLAB R2010a (but might work with some earlier versions) Executable version does not require MATLAB and runs under Windows XP, Vista, and Windows 7. -
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ReViMS
ReViMS, a 3D volume rendering tool for light-sheet/confocal microscopy
Reconstruction and Visualization from Multiple Sections (ReViMS), an open-source, user-friendly software for automatically estimating volume and several other features of 3D multicellular aggregates (i.e., cancer spheroid, zebrafish, fruit fly). ReViMS requires a z-stack of 2D binary masks, obtained by segmenting a sequence of fluorescent images acquired by scanning the aggregate along the z axis, using a confocal or a light-sheet fluorescent microscope. It provides a number of tools for: (a) segmenting z-stacks of fluorescence images; (b) reconstructing the 3D surface of the aggregates and estimating several features (including the volume). ReViMS is written in MATLAB (The MathWorks, Inc., Massachusetts, USA). It is an open-source tool and the source code is freely available at: http://sourceforge.net/p/revims Requirements: MATLAB R2017b and Image Processing Toolbox 10.1 or later versions. -
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PAMGuide
An analysis tool in MATLAB and R for acoustic habitat characterisation
PAMGuide is acoustic analysis software for the characterisation of the acoustic environment from sound recordings. PAMGuide can be used to produce calibrated spectrograms and statistical analyses of sound levels, and is provided in both MATLAB and R. A Tutorial on getting started with PAMGuide can be downloaded here: http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12330/suppinfo PAMGuide was published as supplementary material to the following Open Access journal article: Merchant, N.D., Fristrup, K.M., Johnson, M.P., Tyack, P.L., Witt, M.J., Blondel, P., Parks, S.E. (2015). Measuring acoustic habitats. Methods in Ecology and Evolution. http://dx.doi.org/10.1111/2041-210X.12330 -
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SOFA Toolbox
Spatially Oriented Format for Acoustics
This project provided the SOFA Toolbox, a toolbox for the spatially oriented format for acoustics (SOFA). The SOFA Toolbox is the successor of the SOFA API for Matlab/Octave. More information about SOFA can be found here: http://sofaconventions.org On July 2025, we have left SourceForge: The SOFA Toolbox 2.2.0 is the last release published here. All further releases can be found at the SONICOM Ecosystem: https://ecosystem.sonicom.eu/tools/ The code development happens on GitHub: https://github.com/sofacoustics/SOFAtoolbox If you'd like to contact us, contact us via https://www.oeaw.ac.at/en/ari/team/our-team. Or create an issue at https://github.com/sofacoustics/SOFAtoolbox/issues -
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An easy to install and use toolbox for octave for the calculation purpose of power system along with features like Economic load dispatch, load flow analysis, transmission line parameter and swing equation etc
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Qi - Quantitative Imaging (PIV and more)
A collection of MATLAB tools for PIV, PTV, particle sizing, and more.
Qi is a collection of MATLAB tools for the quantitative analysis of flow field images. Our Particle Image Velocimetry (PIV) tool, prana, implements a Robust Phase Correlation kernel for PIV analysis, and now includes Particle Tracking Velocimetry and sizing tools. Tools for pressure calculation, proper orthogonal decomposition (POD), and 3d imaging are under development. -
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LS-PIV Supplemental Material
Line-scanning particle image velocimetry for analyzing blood flow data
Line-scanning particle image velocimetry (LS-PIV) is an analytical method to quantify blood velocity data generated by many confocal and two-photon excited fluorescence microscopes. We hope that this method will be of use to the research community! The associated files include Matlab code for LS-PIV and example data-sets of measured blood flow in the cerebral cortex of mouse. For additional information, please see the manuscript "Line-Scanning Particle Image Velocimetry: an Optical Approach for Quantifying a Wide Range of Blood Flow Speeds in Live Animals" by Tyson N. Kim, Patrick W. Goodwill, Yeni Chen, Steven M. Conolly, Chris B. Schaffer, Dorian Liepmann, Rong A. Wang. -
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MICROMECHANICS
A collection of lecture notes and accompanying code on micromechanics
The collection MICROMECHANICS (micromechanics.zip) includes: (1) lecture notes (microbook.pdf) on the analysis of heterogeneous materials and homogenization, and (2) source codes (microcode.tar.bz2) that accompany the computational exercises in Part II of the notes. Instructions on using the codes are given in the README file of each exercise. Further instructions can be found in the file microcode.tar.bz2. The MATLAB codes are used for visualization, evaluating analytical bounds and estimates as well as in the generation of digital and particulate microstructures. The Fortran codes are based on the finite element method in linear and nonlinear settings, the latter capable of finite deformations with damage. The underlying theory is outlined in the lecture notes. -- İlker Temizer Assistant Professor Department of Mechanical Engineering Bilkent University 06800 Bilkent, Ankara Turkey -
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NF2FF is a MATLAB script, which implements a near field to far field transformation for near field antenna measurement setups.
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A framework for the Automatic Control systems investigations for Matlab/Octave. Includes Gurvitz, Raus, Nikvist, Mihailov stability kriteries.
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Advanced Quality Assurance for Aerometric-Data (AQUA) is an open-source quality assurance platform for wind resource data. Developed and currently maintained by the Wind Energy Center at the University of Massachusetts. See www.umass.edu/windenergy
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ControllerTester
An automated controller testing tool
Copyright 2014 Alvin Stanescu, Software Engineering Chair @ Technische Universitaet Munchen Licensed under the Apache License, Version 2.0. Please refer to https://github.com/AlvinStanescu/ControllerTester/blob/master/README.md for further details. -
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An evaluation framework for assessing contours generated by segmentation algorithms acting on cardiac magnetic resonance (MR) images. These contours are important for clinical assessment of left ventricular volume and mass.
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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.
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Gait Analysis Graphical User Interface
Extracts gait parameters from 120 fps video of mouse walking
This project enables behavioral scoring of mouse gait using MATLAB. This was developed and used in the laboratory of Veronique VanderHorst, MD PhD at Beth Israel Deaconess/Harvard Medical School. First, a GUI displays videos of mice walking on a custom apparatus and enables the user to manually detect paw position. This data is saved. Additional functions take this spatiotemporal information and extract commonly used gait parameters, which are then exported to a MATLAB structure to be used for scientific analysis. -
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LAVA for AFM
Lloyd's Algorithm-based Volumetric Analysis for AFM Images
This MATLAB-based program enables analysis of AFM images. In particular, it allows the user to measure the volume of all distinguishable features in an image and to isolate and sort those particles. As the name implies, LAVA uses Lloyd's Algorithm, also known as k-means sorting, to identify a small set of volumes representative of the actual distribution of particle in the image. Although developed for determining feature volume, LAVA is also completely compatible with other types of image analysis, such as fluorescence intensity. Work is in progress to provide three-channel functionality, allowing comparison of relative intensity of red, green, and blue channels in multi-color images. -
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Linear Time Invariant (LTI) system identification using particle swarm optimization (PSO) algorithm. Creators : Vahid Kiani, Hadi Sadoghi Yazdi
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MVPaa
THIS PROJECT HAS MOVED!
MVPaa has merged into the automatic analysis project on gihub: https://github.com/rhodricusack/automaticanalysis -- MVPaa is a MVPA (Multi-Voxel Pattern Analysis) package made for the automatic analysis (http://www.cambridgeneuroimaging.com/aawiki) package. -
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OARS Android IMU & GPS Data Logger
OARS - Orientational Awareness Reaction Systems
The OARS app is a data logger developed to run on Android OS and devices containing an internal GPS ,along with micro-electro-mechanical systems (MEMS) chipset. Specifically the Invensence MPU-6000 or newer. This chip is a highly accurate inertial measurement unit, or (IMU). Contained within this small IMU is a 3-axis Accelerometer, 3-axis Gyro, and 3-axis Magnetometer. Along with a built in processor, it can calculate movements along 9-axis. Depending on platform and app setting, OARS can record sensor values at a rate up to 100hz, or 100 positions per second. GPS data such as Longitude, Latitude, Direction, Speed, and Elevation, are also logged at approximately 1hz, or 1 update per second. Giving you the ability to precisely map an equipped objects location, orientation, and rate of movement along any plane with extreme accuracy. -
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OpenPMU is a collaborative project developing a software defined Phasor Measurement Unit for Smart Grids and electrical utilities. This project is currently hosted by Queen’s University Belfast.
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Overhead Imagery Research Data Set (OIRDS) - an annotated data library & tools to aid in the development of computer vision algorithms
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POLGUI - Matlab Polhemus Interface
A MATLAB GUI interface for the Polhemus Fastrak system to digitize EEG
POLGUI is an interface between MATLAB and the Polhemus Fastrak digitizer used to digitize fiducial locations and scalp EEG electrode locations. There are 5 versions all of which work under MATLAB R14 (on both linux and windows platforms) (1) polgui_ver1_r14 : works with 1 receiver (stylus pen) (2) polgui_ver2_r14 : works with 2 receivers (including the pen) (3) polgui_ver3_r14 : works with 3 receivers(including the pen) (4) polgui_ver4_r14 : works with 4 receivers (including the pen) (5) polgui_ver5_r14 : Generic version which works with 1/2/3/4 receivers [WARNING: Ver 5 might be buggy; not fully tested] -
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SHMTools is set of compatible software tools (mostly Matlab based) for structural health monitoring (SHM) research. This includes algorithms for system design, modeling, data acquisition, feature extraction, classification, and prognosis.
