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This is a test The singular value decomposition of a matrix $A$ is defined as

  \begin{displaymath} A = U \Sigma V^H \end{displaymath} (1)
where $U$ and $V$ are both matrices with orthonormal columns, $\{\cdot\}^H$ indicates a complex-conjugate transpose, and $\Sigma$ is a diagonal matrix with singular values
\[ \sigma_1 > \sigma_2 > \cdots > \sigma_n \geq 0 \]
along the main diagonal. Eq. (?? REFLATEX{} not defined in eqn list ??) is just one of the many matrix decompositions that exists for matrix $A$.
 \begin{figure}[htbp] % figure placement: here, top, bottom, or page	 \centering	 \includegraphics[width=2in]{example.jpg}	  \caption{example caption}	 \label{fig:example} \end{figure}
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-- GabeRosenbaum - 06 Jul 2009
Latex rendering error!! dvi file was not created.

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Topic revision: r5 - 2020-08-19 - TWikiAdminUser
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