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Contents
The most straightforward way is to first generate white Gaussian noise
per the process in the previous sub-section. Then, simply apply and
appropriate filter (high pass, low pass, etc.) in order to remove
noise where you don't want it, leaving just noise at the frequencies
you want.
$username="comment";
$password="12345aa";
$database="commentsdb1";
$link = mysql_connect('mechanicalvibrationc.domaincommysql.com', 'comments', $password);
if (!$link) {
die('Could not connect: ' . mysql_error());
}
@mysql_select_db($database) or die( "Unable to select database");
$query = "SELECT * FROM `comments` WHERE URL='$URL'";
#echo "query is " . $query;
$result = mysql_query($query);
mysql_close();
while($row = mysql_fetch_array($result)) {
echo "User " . $row['Name'] . " Posted on " . $row['DateTime'];
echo "
";
echo $row['Comment'];
echo "
";
}
echo "
";
?>
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This work by Daniel Kiracofe (daniel dot kiracofe at gmail dot com)
is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.