6 projects tagged "Matlab"
Biomechanical ToolKit (BTK) is a cross-platform library for biomechanical analysis. It can read and write a large variety of file formats used in biomechanics, and can modify them. All these operations can be done with the C++ API or with the wrappers included (Python, Octave, and Matlab). The goal of this project is to help the community share data without the restriction of the file format or the biomecanical model provided by the manufacturer of the acquisition system.
jMathLab is a platform for mathematical and numerical computations. It uses the Matlab/Octave programming language. It runs on any platform where Java is installed, and can also run on the Web browser. The following packages are included: symbolic calculations (simplification, differentials, integration), numeric calculations, evaluations of mathematical functions, special functions, linear algebra with vectors and matrices, plotting data and functions, saving data (vectors and matrices) in files, random numbers, statistics, and solving linear and non-linear equations
FinMetrics is a MATLAB-based quantitative portfolio management environment. Built on concepts of bottom-up approach to application design, it allows users to define most basic, low level building blocks, e.g. assets and transactions, to be further pieced together in higher level objects, e.g. positions or portfolios. Data analysis and statistics functions, implemented within the environment and native to MATLAB, enable users to conduct scenario analysis, stress testing, performance measurement and attribution, risk measurement and attribution, design hedge strategies, etc. The open architecture of the environment allows users to work with objects of any level, depending on their requirements and expertise. The object structure and data types are specifically designed to make integration with MATLAB and native FinMetrics functions as easy as possible. The FinMetrics user interface application and MATLAB scripting may be utilized to facilitate or automate complex and repetitive tasks, as well as extend the functionality of the environment.
RWTH Mindstorms NXT Toolbox controls LEGO Mindstorms NXT robots with MATLAB via a wireless Bluetooth connection. The toolbox functions are based on the LEGO Mindstorms NXT Bluetooth Communication Protocol to control the intelligent NXT Brick via a wireless Bluetooth connection. Although a Bluetooth connection is not recommended for realtime robot control in general, because of its high latency, this toolbox provides MATLAB functions to interact with a robot directly. The main advantage of this remote control concept is that it enables users to combine robot applications with complex mathematical operations and visualizations within MATLAB.