METHOD OF PARAMETRIC OPTIMIZATION OF COMPLEX-SIGNAL ENSEMBLES

Abstract

The article presents a method of parametric optimization of complex-signal ensembles based on controlling the cross-correlation similarity condition. The proposed algorithm ensures coordinated management of spectral, energy, and correlation characteristics through adaptive verification of correlation similarity and dynamic recalibration of frequency permutations. The method reduces inter-channel interference, increases spectral compactness, and enhances the structural stability of signal ensembles under stochastic environmental variations, providing a more reliable foundation for advanced cognitive and adaptive telecommunication applications.