Computes the Pseudo Correlation , a finer approach than normal correlation for the template matching purposes. It has a higher specificity and accuracy than the normal correlation score. It returns a score in the range of {0,1}. Please review the paper below in order to see the mathematical formula for the calculation of it and why it is much more accurate for the pattern recognition and template matching.
%% Algorithm is based on the following paper :
% H. Sedghamiz and Daniele Santonocito,'Unsupervised Detection and
% Classification of Motor Unit Action Potentials in Intramuscular
% Electromyography Signals', The 5th IEEE International Conference on
% E-Health and Bioengineering - EHB 2015, At Iasi-Romania.
%% Author:
% Hooman Sedghamiz
% June 2015, Linkoping University
% Please cite the paper if any of the methods were helpfull