This article delves into the exploration of state-space methods applied to the modeling and estimation of systems with time-varying parameters. While typically existing approaches rely on the ...

Abstract: Linear filtering or convolution operations can be computationally expensive, especially in low-resource environments, high data rate applications, or scenarios involving large datasets. In ...