Phase Space Technique (PST) Algorithms

Overview

Phase Space Technique (PST) is another innovative method for nonlinear analysis, signal processing and pattern recognition developed by PNN Research. This approach considers signals in phase space and accounts for two different types of noise: additive and perturbative. The first type, additive noise, contributes to distortion of the absolute values of signal peaks. The second type, perturbative noise, contributes to variations of the retention times of signal peaks and distorts the time scale. The ability to consider both types of noise significantly distinguishes it from existing methods of data analysis, which are usually designed to treat only the additive noise. Analysis of signals in phase space eliminates the problem of perturbation noise and enables detection and comparison of similar signal segments realized at different retention times. PNN Company PST algorithms implementation not only gives the unique opportunity for signal processing but also provides the efficient real time software.