A Matlab interface to Dapper - an OPeNDAP in-situ data service
Dapper is a newly emerging, community-standard OPeNDAP server for in situ data. DapperM is a Matlab interface to data served by the Dapper OPeNDAP server. Matlab functions include an interactive lat/lon/depth/time data selection tool and functions for obtaining and using selected profile and time series datasets. The functions are described below, and an example is given. Documentation is built into Matlab for convenience of the user.
M2HTML is a powerful tool to automatically generate HTML documentation of your Matlab M-files. Its aim is to be a successor of the Perl script MAT2HTML from J.C. Kantor, including new features.
mlUnit is a unit testing framework for the MATLAB .m language, considering the patterns of the xUnit family. Expressed in other words, mlUnit is the MATLAB .m language version of JUnit.
This toolbox contains Matlab routines for manipulating JPEG files. While Matlab's built-in IMREAD and IMWRITE functions provide basic conversion between JPEG files and image arrays, they do not provide access to the details of the JPEG image, such as the JPEG coefficients or the quantization tables.
Firstly, this is not a signal processing toolbox. Of course, once the data is loaded, there are many matlab functions available for data processing, but few of them are integrated into a GUI interface here. At present, there are no specific functions for processing raw EEG, such as filtering, averaging, etc. For examples of signal processing tools, see the matlab signal processing toolbox and the links below, especially EEGLAB.
This toolbox has been developed to facilitate quick and easy import, visualisation and measurement for ERP data. The toolbox can open and visualise ERP averaged data (Neuroscan, ascii formats), 2D/3D electrode coordinates and 3D cerebral tissue tesselations (meshes). All the features can be explored quickly and easily using the example data provided in the toolbox. The GUI interface is simple and intuitive. The following lists the features already available and some items that could be developed.
Statistical Parametric Mapping refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional imaging data. These ideas have been instantiated in software that is called SPM.
The SPM software package has been designed for the analysis of brain imaging data sequences. The sequences can be a series of images from different cohorts, or time-series from the same subject. The current release is designed for the analysis of fMRI, PET, SPECT, EEG and MEG.
OpenFEM is a finite element toolbox designed to be used within a matrix computing environment. It is available for both MATLAB and SCILAB.
OpenFEM is an open-source software freely distributed under the terms of the "GNU Lesser Public License" (LGPL).
GNU Octave is a high-level language, primarily intended for numerical computations. It provides a convenient command line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with Matlab. It may also be used as a batch-oriented language.
This page contains several computer programs, written in C/C++ language (and some Matlab scripts), that implement encoding and decoding routines of popular error correcting codes (ECC), such as Reed-Solomon codes, BCH codes, the binary Golay code, a binary Goppa code, a Viterbi decoder and more.
A linear multi-scale, multi-orientation image decomposition that provides a useful front-end for many computer vision and image-processing applications.