comparison draft.tex @ 33:a9c8580cb8ca

Added missing graphics files.

 \usetikzlibrary{matrix}
 \usetikzlibrary{patterns}
 \usetikzlibrary{arrows}
 
 \let\citep=\cite
-\newcommand{\colfig}[2][1]{\includegraphics[width=#1\linewidth]{ifigs/#2}}%
+\newcommand{\colfig}[2][1]{\includegraphics[width=#1\linewidth]{figs/#2}}%
 \newcommand\preals{\reals_+}
 \newcommand\X{\mathcal{X}}
 \newcommand\Y{\mathcal{Y}}
 \newcommand\domS{\mathcal{S}}
 \newcommand\A{\mathcal{A}}

 		\caption{
 		I-diagrams for several information measures in
 		stationary random processes. Each circle or oval represents a random
 		variable or sequence of random variables relative to time $t=0$. Overlapped areas
 		correspond to various mutual information as in \Figrf{venn-example}.
-		In (c), the circle represents the `present'. Its total area is
-		$H(X_0)=H(1)=\rho_\mu+r_\mu+b_\mu$, where $\rho_\mu$ is the multi-information
+		In (b), the circle represents the `present'. Its total area is
+		$H(X_0)=\rho_\mu+r_\mu+b_\mu$, where $\rho_\mu$ is the multi-information
 		rate, $r_\mu$ is the residual entropy rate, and $b_\mu$ is the predictive
 		information rate. The entropy rate is $h_\mu = r_\mu+b_\mu$.
 		}
 	\end{fig}
 

 
  	\subsection{Musicological Analysis}
 	refer to the work with the analysis of minimalist pieces
 	
     \begin{fig}{twopages}
-%      \colfig[0.96]{matbase/fig9471}  % update from mbc paper
-      \colfig[0.97]{matbase/fig72663}\\  % later update from mbc paper (Keith's new picks)
+      \colfig[0.96]{matbase/fig9471}  % update from mbc paper
+%      \colfig[0.97]{matbase/fig72663}\\  % later update from mbc paper (Keith's new picks)
 			\vspace*{1em}
       \colfig[0.97]{matbase/fig13377}  % rule based analysis
       \caption{Analysis of \emph{Two Pages}.
       The thick vertical lines are the part boundaries as indicated in
       the score by the composer.

       All information measures are in nats and time is in notes.
       }
     \end{fig}
 
     \begin{fig}{metre}
-      \scalebox{1}[0.8]{%
+%      \scalebox{1}[1]{%
         \begin{tabular}{cc}
-       \colfig[0.45]{matbase/fig36859} & \colfig[0.45]{matbase/fig88658} \\
-       \colfig[0.45]{matbase/fig48061} & \colfig[0.45]{matbase/fig46367} \\
-       \colfig[0.45]{matbase/fig99042} & \colfig[0.45]{matbase/fig87490} 
+       \colfig[0.45]{matbase/fig36859} & \colfig[0.48]{matbase/fig88658} \\
+       \colfig[0.45]{matbase/fig48061} & \colfig[0.48]{matbase/fig46367} \\
+       \colfig[0.45]{matbase/fig99042} & \colfig[0.47]{matbase/fig87490} 
 %				\colfig[0.46]{matbase/fig56807} & \colfig[0.48]{matbase/fig27144} \\
 %				\colfig[0.46]{matbase/fig87574} & \colfig[0.48]{matbase/fig13651} \\
 %				\colfig[0.44]{matbase/fig19913} & \colfig[0.46]{matbase/fig66144} \\
 %        \colfig[0.48]{matbase/fig73098} & \colfig[0.48]{matbase/fig57141} \\
 %       \colfig[0.48]{matbase/fig25703} & \colfig[0.48]{matbase/fig72080} \\
 %        \colfig[0.48]{matbase/fig9142}  & \colfig[0.48]{matbase/fig27751}
  
         \end{tabular}%
-      }
+%     }
       \caption{Metrical analysis by computing average surprisingness and
       informative of notes at different periodicities (\ie hypothetical
       bar lengths) and phases (\ie positions within a bar).
       }
     \end{fig}
 
 	\subsection{Content analysis/Sound Categorisation}.  
         Overview of of information-theoretic approaches to music content analysis.
         \begin{itemize}
-            \item Continuous domain information dynamicXtUngrabButton(drawArea,3,0)  \item Audio based music expectation modelling                          Warning: Attempt to remove nonexistent passive grab
+            \item Continuous domain information 
+						\item Audio based music expectation modelling
             \item Proposed model for Gaussian processes      
         \end{itemize}
     \emph{Peter}
 
 

 triangle, the corresponding transition matrix is returned.  Figure \ref{TheTriangle}
 shows how the triangle maps to different measures of redundancy, entropy rate
 and predictive information rate.\emph{self-plagiarised}
  \begin{figure}
 \centering
-\includegraphics[width=0.85\linewidth]{figs/TheTriangle.pdf}
+\includegraphics[width=0.9\linewidth]{figs/TheTriangle.pdf}
 \caption{The Melody Triangle\label{TheTriangle}}
 \end{figure}	
 Each corner corresponds to three different extremes of predictability and
 unpredictability, which could be loosely characterised as `periodicity', `noise'
 and `repetition'.  Melodies from the `noise' corner have no discernible pattern;