Effective signal denoising with adaptive polynomials

Abstract The study presents an informatic model for signal processing and noise reduction, harnessing the assistance of mathematics. Advanced noise reduction algorithms are applied to improve signal quality. A MATLAB program was developed integrating algorithms designed to reduce noise regardless of its parameter. Employment of adaptive polynomials was also utilized to enhance the reduction of noise interference. All algorithms within the model have been thoroughly automated, ensuring seamless execution. The results demonstrate significant improvements in signal clarity, with filtered signals closely matching the expected noiseless signals. One of the model’s aims was to achieve a significant reduction in noise emitted by rapidly moving objects, an aim that was effectively achieved. The model is applicable in various fields requiring precise signal analysis, demonstrating robust noise reduction capabilities. As an example, it could encompass security-oriented applications such as radar systems and communication networks.