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https://github.com/simonster/binica

EEGLAB binary ICA
https://github.com/simonster/binica

Last synced: about 1 month ago
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EEGLAB binary ICA

Host: GitHub
URL: https://github.com/simonster/binica
Owner: simonster
License: other
Created: 2012-03-06T17:23:12.000Z (almost 13 years ago)
Default Branch: master
Last Pushed: 2012-03-06T17:43:30.000Z (almost 13 years ago)
Last Synced: 2024-10-13T19:33:06.092Z (2 months ago)
Language: C
Homepage:
Size: 2.34 MB
Stars: 3
Watchers: 3
Forks: 4
Open Issues: 0
Metadata Files:
- Readme: README
- License: License.txt

Awesome Lists containing this project

README

        PLEASE READ THE LICENSE FILE FIRST - GNU GPL

SOFTWARE REQUIREMENTS:

      ANSI C compiler

      BLAS and LAPACK math libraries

      MATLAB version 5.0 or higher (*)

(*) MEX implementation only

HOW TO COMPILE:

The ICA software requires the BLAS and LAPACK libraries. A public domain implementation of the library packages is available from NETLIB at http://www.netlib.org/clapack/.

NOTE: hardware optimized implementations of the BLAS routines are available for most architectures and have proven to increase execution speed by 4-500%.

Makefiles have been constructed for several platforms. To compile the ICA software using an existing Makefile; modify the library paths to fit the paths on you system. Next, make the designated Makefile.

Example:

      make -f Makefile.alpha

If you compile the ICA software for multiple architectures, make sure to run a 'make-clean' between each make session.

Example:

      make -f Makefile.alpha clean

A Makefile must be constructed to compile the ICA software for a platform for which no Makefile exists. You may modify any of the existing Makefiles to fit your system.

Defining MMAP causes the ICA software to use memory mapping rather than memory allocation for data storage. Memory mapping allows the ICA software to return freed memory to the kernel, thus significantly decreases memory usage. However, memory mapping may not work on all systems.