code by jitendra and added more test4.sce

1 files changed, 44 insertions, 121 deletions

diff --git a/help/en_US/peig.xml b/help/en_US/peig.xml
index b19c370..9ea911c 100644
--- a/help/en_US/peig.xml
+++ b/help/en_US/peig.xml
@@ -33,138 +33,61 @@
    [S,f] = peig(x,p,nfft,fs,nwin,noverlap)
    [...] = peig(...,freqrange)
    [...,v,e] = peig(...)
-
-
-
-
-
-   </synopsis>
-</refsynopsisdiv>
-
-<refsection>
-   <title>Parameters</title>
-   <variablelist>
-   <varlistentry><term>x:</term>
-      <listitem><para>  int|double - vector|matrix</para>
-<para>Input signal. In case of a matrix, each row of x represents a
+   
+   Parameters:
+   x - int|double - vector|matrix
+   Input signal. In case of a matrix, each row of x represents a
    seperate observation of the signal. If 'corr' flag is specified,
    then x is the correlation matrix.
    If w is not specified in the input, it is determined by the
    algorithm. If x is real valued, then range of w is [0, pi].
-   Otherwise, the range of w is [0, 2pi)</para>
-</listitem></varlistentry>
-   </variablelist>
-
-<variablelist>
-   <varlistentry><term>p:</term>
-      <listitem><para> int|double - scalar|vector</para>
-<para>p(1) is the dimension of the signal subspace
+   Otherwise, the range of w is [0, 2pi)
+   p - int|double - scalar|vector
+   p(1) is the dimension of the signal subspace
    p(2), if specified, represents a threshold that is multiplied by
-   the smallest estimated eigenvalue of the signal's correlation matrix.</para>
-
-</listitem></varlistentry>
-   </variablelist>
-
-<variablelist>
-<varlistentry><term>w:</term>
-      <listitem><para> int|double - vector</para>
-<para>w is the vector of normalized frequencies over which the
-   pseuspectrogram is to be computed.</para>
-
-</listitem></varlistentry>
-
-</variablelist>
-
-
-<variablelist>
-<varlistentry><term>nfft:</term>
-      <listitem><para> int - scalar (Default = 256)</para>
-<para>Length of the fft used to compute pseudospectrum. The length of S
+   the smallest estimated eigenvalue of the signal's correlation matrix.
+   w - int|double - vector
+   w is the vector of normalized frequencies over which the
+   pseuspectrogram is to be computed.
+   nfft - int - scalar (Default = 256)
+   Length of the fft used to compute pseudospectrum. The length of S
    (and hence w/f) depends on the type of values in x and nfft.
    If x is real, length of s is (nfft/2 + 1) {Range of w = [0, pi]} if
    nfft is even and (nfft+1)/2 {Range of w = [0, pi)} otherwise.
-   If x is complex, length of s is nfft.</para>
-
-</listitem></varlistentry>
-
-</variablelist>
-
-<variablelist>
-<varlistentry><term>fs:</term>
-      <listitem><para> int|double - scalar (Default = 1)</para>
-<para>Sampling rate. Used to convert the normalized frequencies (w) to
-   actual values (f) and vice-versa.</para>
-
-</listitem></varlistentry>
-
-</variablelist>
-
-<variablelist>
-<varlistentry><term>nwin:</term>
-      <listitem><para> int|double - scalar (int only)|vector (Default = 2*p(1))</para>
-<para> If nwin is scalar, it is the length of the rectangular window.
+   If x is complex, length of s is nfft.
+   fs - int|double - scalar (Default = 1)
+   Sampling rate. Used to convert the normalized frequencies (w) to
+   actual values (f) and vice-versa.
+   nwin - int|double - scalar (int only)|vector (Default = 2*p(1))
+   If nwin is scalar, it is the length of the rectangular window.
    Otherwise, the vector input is considered as the window coefficients.
-   Not used if 'corr' flag present.</para>
-
-</listitem></varlistentry>
-
-</variablelist>
-<variablelist>
-<varlistentry><term>noverlap:</term>
-      <listitem><para> int - scalar (Default = nwin-1)</para>
-<para> number of points by which successive windows overlap. noverlap not
-   used if x is a matrix</para>
-
-</listitem></varlistentry>
-
-</variablelist>
-<variablelist>
-<varlistentry><term>freqrange:</term>
-      <listitem><para> string</para>
-<para>The range of frequencies over which the pseudospetrogram is
+   Not used if 'corr' flag present.
+   If x is a vector, windowing not done in nwin in scalar. If x is a
+   matrix,
+   noverlap - int - scalar (Default = nwin-1)
+   number of points by which successive windows overlap. noverlap not
+   used if x is a matrix
+   freqrange - string
+   The range of frequencies over which the pseudospetrogram is
    computed. Three possible values - 'onesided', 'twosided', 'centered'
    'corr' flag
    Presence indicates that the primary input x is actually a
    correlation matrix
-   </para>
-
-</listitem></varlistentry>
-
-</variablelist>
-</refsection>
-
-
-
-
-
-<refsection>
-   <title>Examples</title>
-   <programlisting role="example"><![CDATA[
-
-       fs = 100;
-       t = 0:1/fs:1-1/fs;
-       s = 2*sin(2*%pi*25*t)+sin(2*%pi*35*t)+rand(1,100,"normal");
-       [S,w]=peig(s,2,512,fs,'half');
-       plot(w,S);
-   ]]></programlisting>
-</refsection>
-
-<refsection>
-   <title>See also</title>
-   <simplelist type="inline">
-   <member><link linkend="rooteig">| pmusic | pmtm | pcov | pmcov | pburg | pyulear | pwelch | corrmtx</link></member>
-   </simplelist>
-</refsection>
-
-<refsection>
-   <title>Authors</title>
-   <simplelist type="vert">
-   <member>Ayush Baid</member>
-   <member>References</member>
-   <member>[1] Petre Stoica and Randolph Moses, Introduction To Spectral</member>
-   <member>Analysis, Prentice-Hall, 1997, pg. 15</member>
-   <member>[2] S. J. Orfanidis, Optimum Signal Processing. An Introduction.</member>
-   <member>2nd Ed., Macmillan, 1988.</member>
-   </simplelist>
-</refsection>
+   
+   Examples:
+   1.
+   fs = 100;
+   t = 0:1/fs:1-1/fs;
+   s = 2*sin(2*%pi*25*t)+sin(2*%pi*35*t)+rand(1,100,"normal");
+   [S,w]=peig(s,2,512,fs,'half');
+   plot(w,S);
+   OUTPUT:   gives the plot of power vs normalised frequencies
+   //2.
+   fs = 100;
+   t = 0:1/fs:1-1/fs;
+   s = 2*sin(2*%pi*25*t)+sin(2*%pi*35*t);
+   [S,w]=peig(s,2,512,fs,'half');
+   plot(w,S);
+   </synopsis>
+</refsynopsisdiv>
 </refentry>