The algorithm for optimization of scaling factor and time-shift of Hermite functions is proposed.
Parameters are optimized to provide the most concentrated representation of the observed signals.
The simple iterative algorithm is based on gradient descent method.
The concentration measure is employed as optimization criterion.
The efficiency of the proposed approach is verified using both real and synthetic signals.
The method is applied for QRS compression and tested on a database of QRS complexes.
The efficiency is proven also for T waves of ECG signals and UWB signals.