Discrete-time Volterra modeling is a central topic in many application areas and a large class of nonlinear systems can be modeled using high-order Volterra series. The problem wi...
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Abstract— We propose a low-complexity adaptive highresolution channel prediction algorithm for pilot symbol assisted orthogonal frequency division multiplexing (OFDM) systems. Th...