title: Normalizing by dividing by max value VS sum of all values
body: <p>I'm implementing a Gaussian filter in which, as explained in <a href="https://stackoverflow.com/questions/1833082/one-dimensional-gauss-convolution-function-in-matlab">one Dimensional gauss convolution function in Matlab</a>, I'm normalising the filter coefficients by dividing them by sum of all the coefficients.   <a href="https://stackoverflow.com/questions/13638464/normalizing-by-max-value-or-by-total-value">Normalizing by max value or by total value?</a> explains that normalisation can be done by dividing by maximum of the coefficients too. </p>
  
  <p>I'm unable to get the point that what should be the conditions/specifications to be considered in choosing the normalising factor?</p>