Fast C++ library for linear algebra (matrix maths) and scientific computing. Easy to use functions and syntax, deliberately similar to Matlab. Uses template meta-programming techniques. Also provides efficient wrappers for LAPACK, BLAS, ATLAS, ARPACK and SuperLU libraries, including high-performance versions such as OpenBLAS and Intel MKL. Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. For more details, see http://arma.sourceforge.net
A MATLAB(R) Mex-DLL to SQLite Databases
Did you ever want to store your MATLAB(R) data in a SQL database? Nothing large, simply a few array or strutures in a few tables. Maybe a few indicies and everything manageable with SQL commands? Then msqlite will be the right choice for you! mksqlite connects the power of MATLAB(R) with the efficiency of the SQLite database engine. (See also https://github.com/AndreasMartin72/mksqlite)
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.
Simple and Effective Source Code For for Speaker Identification Based
Speaker Recognition System V3 : Simple and Effective Source Code For for Speaker Identification Based On Neural Networks. Speaker recognition or voice recognition is the task of recognizing people from their voices. Such systems extract features from speech, model them and use them to recognize the person from his/her voice.
A Numerical MRI Simulation Platform
The MRiLab is a numerical MRI simulation package. It has been developed and optimized to simulate MR signal formation, k-space acquisition and MR image reconstruction. MRiLab provides several dedicated toolboxes to analyze RF pulse, design MR sequence, configure multiple transmitting and receiving coils, investigate magnetic field related properties and evaluate real-time imaging technique. The main MRiLab simulation platform combined with those toolboxes can be applied to customize various virtual MR experiments which can serve as a prior stage for prototyping and testing new MR technique and application. If you find MRiLab useful for your work, please cite this paper: Fast Realistic MRI Simulations Based on Generalized Multi-Pool Exchange Tissue Model. IEEE Transactions on Medical Imaging. 2016. doi: 10.1109/TMI.2016.2620961 MRiLab v1.3 is available now, with supports for generalized multicomponent tissue model.
Moved to https://github.com/rdiankov/openrave An open-source, cross-platform, plugin-based robot planning environment for autonomous robotics. Includes services like collision detection, physics, (inverse) kinematics, sensors, robot controls, python bindings, and a network scripting environment.
Open source 3D Matlab Isogeometric Analysis Code
Isogeometric analysis (IGA) is a fundamental step forward in computational mechanics that offers the possibility of integrating methods for analysis into Computer Aided Design (CAD) tools and vice versa. The benefits of such an approach are evident, since the time taken from design to analysis is greatly reduced leading to large savings in cost and time for industry. The tight coupling of CAD and analysis within IGA requires knowledge from both fields and it is one of the goals of the MIGFEM is to provide a simple-to-understand IGA FEM code. The work is funded under the FP7 Initial Training Network Funding under grant number 289361 'Integrating Numerical Simulation and Geometric Design Technology.' If you use this code or inspired by it please cite the following reference in your work: VP Nguyen, C Anitescu, S Bordas, T Rabczuk. "Isogeometric analysis: an overview and computer implementation aspects". Mathematics and Computers in Simulation, (2015), pp. 89-116, Vol 117.
RLaB is an interactive, interpreted scientific programming environment which provides fast prototyping and program development, similar to matlab(c). Project rlabplus provides the second release of the environment for 32- and 64-bit linux systems.
A speech recognition system using Matlab/Simulink/Stateflow.
This project provide hidden Markov model speech recognition system by using Matlab/Simulink/Stateflow.
Cantera is a suite of object-oriented software tools for problems involving chemical kinetics, thermodynamics, and/or transport processes. It can be used from MATLAB, Python, C++, or Fortran.
Face Recognition Wavelet Neural Networks
Face Recognition [Wavelet and Neural Networks ] V2 : Simple and Effective Source Code for Face Recognition Based on Wavelet and Neural Networks. The code has been tested with AT&T database achieving an excellent recognition rate of 97.90% (40 classes, 5 training images and 5 test images for each class, hence there are 200 training images and 200 test images in total randomly selected and no overlap exists between the training and test images). See More : http://matlab-recognition-code.com/face-recognition-based-on-wavelet-and-neural-networks-matlab-code/
Implementation of duration high-order hidden Markov model in Matlab.
Implementation of duration high-order hidden Markov model (DHO-HMM) in Matlab with application in speech recognition.
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 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.
XFEM implementation in MATLAB
The extended finite element method (XFEM) classified, one of the partition of unity method (PUM), allows discontinuities to be simulated independently of the mesh. This is possible by adding appropriate functions to the FE approximation basis, for example, the Heaviside function. The discontinuities can evolve in time, without a need for a conforming mesh. A MATLAB implementation of the XFEM written by VP Nguyen, is given here. The interaction of cracks and crack-inclusion interaction is modelled with XFEM framework. The elements intersected by discontinuity surface are sub-divided into quadrature subcells aligned with the discontinuity and higher order quadrature is adopted. The implementation is described in the following article: Meshless methods: a review and computer implementation aspects VP Nguyen, T Rabczuk, S Bordas, M Duflot, Mathematics and computers in simulation 79 (3), 763-813.
Analysis of undersea fish videos
The Fish4knowledge project investigated: information abstraction and storage methods for analyzing undersea video data (from 10E+15 pixels to 10E+12 units of information), machine and human vocabularies for detecting & describing fish, flexible process architectures to process the data and scientific queries and effective specialised user query interfaces. A combination of computer vision, database storage, workflow and human computer interaction methods were used to achieve this. The project used live video feeds from 10 underwater cameras as a testbed for investigating more generally applicable methods for capture, storage, analysis and querying of multiple video streams. We collated a public database from 3 years containing video summaries of the observed fish and associated descriptors. Expert web-based interfaces were developed for use by marine researchers, allowing unprecedented access to live and previously stored videos, or previously extracted information.
Cupid: simultaneous reconstruction of miRNA-target and ceRNA networks
Chiu et. al., Genome Research 2014 Cupid is a method for simultaneous prediction of miRNA-target interactions and their mediated competitive endogenous RNA (ceRNA) interactions. We showed that our integrative approach significantly improves on miRNA-target prediction accuracy as assessed by both mRNA and protein level measurements in breast cancer cell lines. Cupid is implemented in 3 steps: Step 1: re-evaluate candidate miRNA binding sites in 3’ UTRs, as inferred by TargetScan, miRanda and PITA by integrating their scores, location in the 3’ UTR, and cross-species conservation. Step2: interactions are predicted by integrating information about selected sites, their multiplicity, and the statistical dependency between the expression profiles of miRNA and putative targets. Likelihoods for each predictive feature are computed based on a positive gold standard set. Step 3: Cupid assesses whether inferred targets compete for predicted miRNA regulators.
The Sick LIDAR Matlab/C++ Toolbox offers stable and easy-to-use C++ drivers for Sick LMS and Sick LD LIDARs. It provides a Matlab Mex interface for streaming LIDAR returns directly into Matlab. Also included are config utilities, examples, and tutorials.
A cross-platform library that computes fast and accurate SIFT image features. libsiftfast provides Octave/Matlab scripts, a command line interface, and a python interface (siftfastpy). Optimized with SIMD instructions and OpenMP .
Routines for wavefront propagation in IDL, Matlab, and Python
PROPER is a library of routines for the propagation of wavefronts through an optical system using Fourier-based methods. It was developed at the Jet Propulsion Laboratory for modeling stellar coronagraphs, but it can be applied to other optical systems were diffraction propagation is of concern. It is currently available for IDL (Interactive Data Language), Matlab and Python (2.7 & 3.x). It includes routines for generating complex apertures and obscurations and aberrations (Zernike & PSD-defined). It includes a model of a deformable mirror for wavefront control. The routines perform near and far field propagation with automatic selection of propagators. All Python users are urged to download v3.0b, which has some major bug fixes. The latest Python version is v3.0b released on 6 Mar 2018. IDL and Matlab versions are v3.0a from 22 Jan 2018.
A library providing easy, flexible, and efficient read/write access to video files using a wide variety of codecs in MATLAB on Windows and GNU/Linux platforms, using DirectShow and ffmpeg backends, respectively. Also provided are 'load' and 'imread' for bulk reading.
A neural network package for Octave! Goal is to be as compatible as possible to the one of MATLAB(TM).
SoundRuler is a tool for acoustic analysis, graphing and teaching. It interactively recognizes and measures 35 temporal and spectral properties of each sound in a file. It also features several measurement, graphing and didactic modules.
A pythonic interface to MATLAB
This package lets Python users interface and communicate with MATLAB from Python. Pymatlab makes it easier for users to integrate a project with a large MATLAB codebase into python scripts by using MATLAB scripts as a part of the python program. The basic functionality of this package is to send data from Python to MATLAB's workspace to be able to run Matlab function on the data. After processing you retrieve back data to python. This enables you to process data with Mathlab's built in functions, toolboxes or Matlab-scripts. It is also possible to use MATLAB's to generate plots or other graphics. The package uses Numpy's ndarrays and translates them into MATLAB's mxarrays using Python's ctypes and Matlab's mx library. The interface to MATLAB's workspace in done through MATLAB's engine library.
Demo of Simulink to C++ C or HDL FGA for HFT potential
Video and files download for Visual trading idea to C++ or FPGA HFT Meetup File download sample: test model (Matlab 2014b with Visual Studio 2013 C++ project generated) Powerpoint MATLAB SIMULINK http://quantlabs.net/blog/2015/04/video-and-files-download-for-visual-trading-idea-to-c-or-fpga-hft-meetup/