A speech recognition system using Matlab/Simulink/Stateflow.
This project provide hidden Markov model speech recognition system by using Matlab/Simulink/Stateflow.
A Matlab toolkit for analyzing EEG/ERP datasets, especially PCA. If you run into a problem, please send me a note and I'll fix it. The tutorial is in the documentation folder and the tutorial data is a separate download (tutorial data.zip).
A MATLAB program for 2D particle tracking or 3D DHM based tracking.
We present a versatile and fast MATLAB program (UmUTracker) that automatically detects and tracks particles by analyzing long video sequences acquired by either light microscopy or digital holography microscopy (DHM). Our program finds the 2D particle center position using an isosceles triangle transform and the axial position by a fast implementation of Rayleigh-Sommerfeld numerical reconstruction algorithm using a one dimensional radial intensity profile. *Updates v1.1: 2017/11/21- Bug fix & Blob detection functions. Please visit our homepage for more information: http://www.physics.umu.se/english/research/biological-physics/the-biophysics-and-biophotonics-group/ *Please cite our work using the following information: Zhang, H., T. Stangner, K. Wiklund, A. Rodriguez, and M. Andersson. 2017. UmUTracker: A versatile MATLAB program for automated particle tracking of 2D light microscopy or 3D digital holography data. Comput. Phys. Commun. 219: 390–399.
A simple but complete mobile wireless network simulator based on Matlab.
a Small (Matlab/Octave) Toolbox for Kriging
The STK is a (not so) Small Toolbox for Kriging. Its primary focus in on the interpolation / regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior. The STK also provides tools for the sequential and non-sequential design of experiments. Even though it is, currently, mostly geared towards the Design and Analysis of Computer Experiments (DACE), the STK can be useful for other applications areas (such as Geostatistics, Machine Learning, Non-parametric Regression, etc.).
High-performance package for SemiDefinite Programs The software SDPA (SemiDefinite Programming Algorithm) is one of the most efficient and stable software packages for solving SDPs based on the primal-dual interior-point method.
C++, Matlab and Python library for Hidden-state Conditional Random Fields. Implements 3 algorithms: LDCRF, HCRF and CRF. For Windows and Linux, 32- and 64-bits. Optimized for multi-threading. Works with sparse or dense input features.
A shared memory parallel sparse matrix library including Sparse BLAS.
librsb is a library for sparse matrix computations featuring the Recursive Sparse Blocks (RSB) matrix format. This format allows cache efficient and multi-threaded (that is, shared memory parallel) operations on large sparse matrices. The most common operations necessary to iterative solvers are available, e.g.: matrix-vector multiplication, triangular solution, rows/columns scaling, diagonal extraction / setting, blocks extraction, norm computation, formats conversion. The RSB format is especially well suited for symmetric and transposed multiplication variants. On these variants, librsb has been found to be faster than Intel MKL's implementation for CSR. Most numerical kernels code is auto generated, and the supported numerical types can be chosen by the user at build time. librsb implements the Sparse BLAS standard, as specified in the BLAS Forum documents.
Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.
The Janelia Automated Animal Behavior Annotator
The Janelia Automatic Animal Behavior Annotator (JAABA) is a machine learning-based system that enables researchers to automatically compute interpretable, quantitative statistics describing video of behaving animals. Through our system, users encode their intuition about the structure of behavior by labeling the behavior of the animal, e.g. walking, grooming, or following, in a small set of video frames. JAABA uses machine learning techniques to convert these manual labels into behavior detectors that can then be used to automatically classify the behaviors of animals in large data sets with high throughput. JAABA combines an intuitive graphical user interface, a fast and powerful machine learning algorithm, and visualizations of the classifier into an interactive, usable system for creating automatic behavior detectors. Documentation is available at: http://jaaba.sourceforge.net/
A MATLAB toolbox for simulating the movement of the iRobot Create. Contains multiple GUIs for creating maps and other input, showing the movement of the Create, and replaying a previously saved session.
A neural network package for Octave! Goal is to be as compatible as possible to the one of MATLAB(TM).
Spatially Oriented Format for Acoustics
In this project we work on the (S)patially (O)riented (F)ormat for (A)coustics: SOFA. The file format is intended for reading, saving, and describing spatially oriented data of acoustic systems. Examples of data we consider are head-related transfer functions (HRTFs), binaural room impulse responses (BRIRs), multichannel measurements such as done with microphone arrays, or directionality data of loudspeakers. The format specifications are the major issue, but we also aim in providing APIs for reading and writing the data in SOFA.
Random Tree Generator for MatLab
RandTree is a MatLab based tree simulator program where the algorithm is based on Honda's model. We have used probabilistic generation of branches in order to simulate visually realistic tree structures. This program is designed to generate branching structures with bifurcation branching pattern (sympodial branching). By changing the probabilities and branching angles, you can generate different shapes of trees.
GPLAB is a Genetic Programming Toolbox for MATLAB
Matlab/Octave implementation of the Rigorous Coupled Wave Analysis
Toolboxes for SPM (http://www.fil.ion.ucl.ac.uk/spm/) developed at Freiburg Brain Imaging (http://fbi.uniklinik-freiburg.de/)
The GetData library provides an API to interface with Dirfile databases. The Dirfile database format is designed to provide a fast, simple, scalable format for storing and reading binary, synchronously-sampled, time-ordered data.
A high-level python to matlab(tm) bridge. Let's matlab look like a normal python library.
A MATLAB Automatic Differentiation Tool
ADiGator is a source transformation via operator overloading tool for the automatic differentiation of mathematical functions written in MATLAB. Given a user written file, together with information on the inputs of said file, ADiGator uses forward mode automatic differentiation to generate a new file which contains the calculations required to compute the numeric derivatives of the original user function. Furthermore, these calculations are written entirely in the native MATLAB language, and thus the process may be repeated to obtain nth order derivative files. The package is particularly appealing for applications where the same derivative must be found at multiple different points, i.e. non-linear root finding/optimization, stiff ode integration, etc.
A Matlab/Octave toolbox to design, simulate, and analyze optical communication systems. Open source, fast (using MEX), user-friendly and customizable, it includes cutting-edge solutions for: modulation formats, performance estimation, fiber propagation.
sigTOOL provides a user-extendable signal analysis environment for processing electrophysiological data within MATLAB. Neuron spike-train, + spectral and time-domain analyses are built in. See http://dx.doi.org/10.1016/j.jneumeth.2008.11.004
Matlab/Octave implementation of the 2D Rigorous Coupled Wave Analysis
Isotope assisted discovery of metal chelating agents from LC-MS data
ChelomEx identifies chromatographic features of metal complexes and associated free ligands or other related adducts in high-resolution LC-MS data. A built-in graphical user interface and compound library aid in the efficient evaluation of the results. If you use ChelomEx for your research, please cite our Analytical Chemistry paper that describes the software (http://dx.doi.org/10.1021/ac503000e). To comment, send bug reports or suggestions for additional features to be implemented in future versions please send me a message. The current version ChelomEx 1.2 from 06 January 2016 includes the following changes to the original version (ChelomEx 1.0): - function to filter discovered isotope patterns after the first analysis step (isotope pattern search), accessible in the Isotope Pattern toolbar (v1.2) - updates for compatibility with MatLab versions after 2014b (v1.2) - siderophore database update (v1.1) - can now also analyze negative mode data (v1.1) - bug fixes (v1.1)
KARDIA ("heart" in Greek) is a Matlab software with a graphic user interface designed for the analysis of cardiac interbeat interval data.