https://popups.uliege.be/3041-539x/index.php?id=2664 We show that projectors proposed in the framework of Quantum Signal Processing can be implemented as Hamiltonian Neural Network based orthogonal filters. Moreover, such filters can be used as Universal Signal Processors. The structures of such processors rely on a family of Hurwitz-Radon matrices. To illustrate, we propose a procedure of nonlinear mapping synthesis. The problem of anticipation is reformulated as a problem of supervised learning. Full text issues Volume 14 Soft Computing and Computational Intelligence fr Thu, 29 Aug 2024 16:15:04 +0200 Tue, 08 Oct 2024 13:07:15 +0200 https://popups.uliege.be/3041-539x/index.php?id=2664 0