This figure illustrates the speed-up with a FA$\mu$ST ($\mathbf{M}$ is the gain dense matrix and $\widehat{\mathbf{M}}_{6},\widehat{\mathbf{M}}_{9},\widehat{\mathbf{M}}_{16},\widehat{\mathbf{M}}_{26}$ are different FA$\mu$ST representing $\mathbf{M}$):
\begin{figure}[!htbp]
\label{fig:BSL}
\begin{figure}[!h] %%[!htbp]
\centering
\includegraphics[scale=0.7]{images/BSL.png}
\caption{Performance of FAuST tool on Brain Source Localization experiment}
\chapter{Installation on Linux and MAC OS X platform}\label{sec:InstallUnix}
\chapter{Installation on Unix platform}\label{sec:InstallUnix}
\paragraph{}The FA$\mu$ST project is based on \textbf{C++ library} available for Linux, MAC OS X and Windows platforms. The proposed toolbox provides a Matlab wrapper. \textbf{CMake} has been chosen to build the FA$\mu$ST project because it is an open-source, cross-platform family of tools designed to build, test and package software. This chapter presents the steps to install the FA$\mu$ST tools on Unix platform (both Linux and Mac OS).