Search Results for "extension"

Basic Octave implementation of the matlab raspi extension, allowing communication to a Raspberry Pi board to control its hardware.

The Matlab/Octave rotations library is a collection of functions, bundled as m-scripts, that address computations and numerical handling of rotations in 3D Euclidean space. The rotation representations that are supported are rotation matrices (Rotmat), Quaternions (Quat), intrinsic ZYX Euler angles (Euler), fused angles (Fused) and tilt angles (Tilt). Operations such as composition, inversion, ZYX yaw extraction, fused yaw extraction, random generation, equality detection, vector rotation...

Qu is a MATLAB toolbox for the visualization and analysis of N-dimensional datasets targeted to the field of biomedical imaging. It supports several microscopy image formats and offers a plugin mechanism and a consistent API for easy extension.

Orthogonal method for the Identification of Volterra series. It is an extension of Lee-Schetzen method with two major improvments: 1. Reduced identification uncertainty in diagonal kernel points. 2. Possibility to identify each Volterra kernel with an input with different variance. This feature reduces the identification noise on lower order kernels and improve the "resolution" on higher order kernels.

Folder is a tool to simulate and analyse the development of structures in mechanically layered media during layer parallel shortening or extension. It includes a graphical user interface that allows for easy designing of complex geometrical models, defining material parameters (including linear and non-linear rheology), and specifying type and amount of deformation. It also includes a range of features that facilitate the visualization and examination of various relevant quantities e.g. velocities, stress, rate of deformation, pressure, and finite strain. ...

This toolbox is a collection of MatLab functions for reading WinView/WinSpec files (.spe extension) directly to MatLab. It provides functions for reading full header from file into a structure, reading frames into matrices, and reading pixel values across all frames. You can use these functions to analyse and process experiment data stored in .spe files in MatLab, and to write functions to export .spe files to animated GIFs for use in presentations.