Matlab 2013 is a powerful programming language which enables you to perform all the engineering tasks and matix solving. Various new updates has been added which makes the software stand out among all the matrix solving software available in the market today. The Standalone MATLAB is a very diverse language program which is used to perform image, video processing and signal processing with ease. All the Microsoft operating systems, Macs and Linux run MATLAB as well. It is compatible with 32 Bit as well 64 Bit systems.
MATLAB R2013b is developed by The MathWorks, Inc. and is used by 68 users of Software Informer. The most popular versions of this product among our users are: 1.0, 8.2, 8.3 and 8.5. The names of program executable files are activate_matlab.exe, deactivate_matlab.exe, IconCA564350.exe, matlab.exe and MATLABR2013b.exe. The product will soon be reviewed by our informers.
Download Kubios HRV Scientific installer from the links below and install it into your computer (you will need a license key to activate the software on your computer). NOTE: Matlab Runtime (MCR) version that is required to run Kubios HRV Scientific, is included in Windows and macOS installers (macOS installer downloads the MCR when necessary).
Download Kubios HRV Standard installer from the links below and install it into your computer (you will need the license key to activate the software on your computer). NOTE: Matlab Runtime (MCR) version R2021a, which is required to run Kubios HRV Standard, is included in Windows and macOS installers (macOS installer downloads the MCR when necessary).
MATLAB R2013a Student Version (32-bit) is developed by The MathWorks, Inc. and is used by 2 users of Software Informer. The most popular versions of this product among our users are: 8.1 beta and 8.1. The name of the program executable file is matlab.exe. The product will soon be reviewed by our informers.
MATLAB is a mathematical computational software program used in the College of Engineering and the Department of Mathematics and Statistics. The name "MATLAB" refers to both the software program and the proprietary programming language used to interface with it. All Valpo students, faculty, and staff members are eligible to download and install unlimited copies of MATLAB and over a dozen included toolboxes free of charge.
DREAM Suite (DIRECT LINK or ) is a software package for Bayesian inference of numerical simulation models. The program has been developed by PC-Progress in cooperation with Dr. Jasper Vrugt and can be used for the rapid development of applications based on the theory of Markov chain Monte Carlo (MCMC) simulation and the DiffeRential Evolution Adaptive Metropolis (DREAM) method. The package includes more than twenty different examples illustrating the main capabilities and functionalities of DREAM Suite. These examples are available including C++ source code, are easy to adapt and can serve as templates for other inference problems. Plugin modules for new projects can be simply generated using the build-in C++ code generator and finished in Microsoft Visual Studio (free Community Edition 2015 or 2013).
Ansys is committed to setting today's students up for success tomorrow, by providing free simulation engineering software licenses to students at all levels. Support your learning with free courses, our support community and a wealth of student-focused tutorials.
Used by millions around the world, students can take advantage of our free engineering software for homework, capstone projects and student competitions. Our renewable products can be downloaded at no cost by students across the globe and installed on any supported MS Windows 64-bit machine.
Because the software package "PSAT" (hereinafter "the toolbox") is licensed free of charge, there is no warranty for the toolbox, to the extent permitted by applicable law. Except when otherwise stated in writing the copyright holders and/or other parties provide the toolbox "as is" without warranty of any kind, either expressed or implied, including, but not limited to, the implied warranties of merchandability and fitness for a particular purpose. The entire risk as to the quality and performance of the toolbox is with you. Should the toolbox prove defective, you assume the cost of all necessary servicing, repair or correction.
A program for extracting distance distributions from dead-time free pulsed electron electron double resonance (DEER, PELDOR) data with Matlab. It can be used for double-quantum EPR data if some caution is exercised with background correction. Features include approximate Pake transformation (APT), Tikhonov regularization (optionally with excitation bandwidth correction), model-based fitting, spin counting, concentration measurements, and background correction based on experimental data sets of singly-labelled samples. The program requires Matlab (version 7.6 or later) operating under Windows, Linux or Mac OS. The current version also works with 64-bit Matlab (tested under Matlab 2010). Version 2013 replaces Version 2011. It can now reload its own output files and has a feature for suppression of ghost contributions to distance distributions that can arise in multi-spin systems
I recently installed Matlab R2013a and it is working fine, however the only way I can start it is by running /usr/local/MATLAB/R2013a/bin/matlab in the terminal. If I type in matlab it says command not found, and I can't seem to get an icon in the side-bar launcher. How can I make it so I can run from the command matlab or from a launcher?
Kubios HRV is an advanced and easy to use software for heart rate variability (HRV) analysis. The software supports several input data formats for electrocardiogram (ECG) data and beat-to-beat RR interval data. It includes an adaptive QRS detection algorithm and tools for artifact correction, trend removal and analysis sample selection. The software computes all the commonly used time-domain and frequency-domain HRV parameters and several nonlinear parameters. There are several adjustable analysis settings through which the analysis methods can be optimized for different data. The ECG derived respiratory frequency is also computed, which is important for reliable interpretation of the analysis results. The analysis results can be saved as an ASCII text file (easy to import into MS Excel or SPSS), Matlab MAT-file, or as a PDF report. The software is easy to use through its compact graphical user interface. The software is available free of charge for Windows and Linux operating systems at
The human brain is a complex system whose topological organization can be represented using connectomics. Recent studies have shown that human connectomes can be constructed using various neuroimaging technologies and further characterized using sophisticated analytic strategies, such as graph theory. These methods reveal the intriguing topological architectures of human brain networks in healthy populations and explore the changes throughout normal development and aging and under various pathological conditions. However, given the huge complexity of this methodology, toolboxes for graph-based network visualization are still lacking. Here, using MATLAB with a graphical user interface (GUI), we developed a graph-theoretical network visualization toolbox, called BrainNet Viewer, to illustrate human connectomes as ball-and-stick models. Within this toolbox, several combinations of defined files with connectome information can be loaded to display different combinations of brain surface, nodes and edges. In addition, display properties, such as the color and size of network elements or the layout of the figure, can be adjusted within a comprehensive but easy-to-use settings panel. Moreover, BrainNet Viewer draws the brain surface, nodes and edges in sequence and displays brain networks in multiple views, as required by the user. The figure can be manipulated with certain interaction functions to display more detailed information. Furthermore, the figures can be exported as commonly used image file formats or demonstration video for further use. BrainNet Viewer helps researchers to visualize brain networks in an easy, flexible and quick manner, and this software is freely available on the NITRC website (www.nitrc.org/projects/bnv/). 2b1af7f3a8