% This is part of the TFTB Reference Manual.
% Copyright (C) 1996 CNRS (France) and Rice University (US).
% See the file refguide.tex for copying conditions.



\markright{noisecu}
\section*{\hspace*{-1.6cm} noisecu}

\vspace*{-.4cm}
\hspace*{-1.6cm}\rule[0in]{16.5cm}{.02cm}
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{\bf \large \sf Purpose}\\
\hspace*{1.5cm}
\begin{minipage}[t]{13.5cm}
Analytic complex uniform white noise.
\end{minipage}
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{\bf \large \sf Synopsis}\\
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\begin{minipage}[t]{13.5cm}
\begin{verbatim}
noise = noisecu(N)
\end{verbatim}
\end{minipage}
\vspace*{.5cm}


{\bf \large \sf Description}\\
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\begin{minipage}[t]{13.5cm}
        {\ty noisecu} computes an analytic complex white uniform
         noise of length {\ty N} with mean 0 and variance 1.0.\\ 
 
\end{minipage}
\vspace*{.5cm}


{\bf \large \sf Example}
\begin{verbatim}
         N=512; noise=noisecu(N);
         [abs(mean(noise)),std(noise).^2]
         ans = 
               0.0099    1.0000

         subplot(211); plot(real(noise)); axis([1 N -1.5 1.5]);
         subplot(212); f=linspace(-0.5,0.5,N); 
         plot(f,abs(fftshift(fft(noise))).^2);
\end{verbatim}
\vspace*{.5cm}


{\bf \large \sf See Also}\\
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\begin{minipage}[t]{13.5cm}
\begin{verbatim}
rand, randn, noisecg.
\end{verbatim}
\end{minipage}
