Adaptive Transformation Algorithm for Detecting Parameters of a Sinusoidal Signal

The paper presents an adaptive transformation algorithm developed for detecting the parameters of sinusoidal signals under noisy and nonstationary disturbances. The proposed method provides estimation of the signal’s amplitude, frequency, and phase with increased accuracy through dynamic adjustment of transformation parameters according to the current characteristics of the input. This approach makes it possible to significantly improve the robustness and reliability of estimates compared with traditional spectral analysis methods, especially when processing signals with time-varying parameters. The presented numerical simulation results confirm the effectiveness of the proposed algorithm in the analysis of sinusoidal signals of various types and parameters.