Algorithms Based on Trigonometric Interpolation for Signal Reconstruction with Even Number of Sampling Points
Dmitriy V. Kusaykin, Maxim A. Klevakin · 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) · 2019
Research results of the finite-length discrete-time signal reconstruction accuracy by means of the trigonometric interpolation are discussed. The research is performed for even number of sampling points by means of the well-known algorithm as well as the new one. We demonstrate that the discrete-time signal reconstruction error is the sum of the monotonically decreasing function (the one the number of samples of increases) and a specific periodic component. The periodic component occurrence reasons are described.