Recursive neural networks are connectionist models capable of solving supervised and non-supervised learning problems represented by directed ordered acyclic graphs. The potential of this novel ...

Abstract: This paper proposes a new Kalman-filter-based recursive frequency estimator for discrete-time ... Due to the coloredness of the linear prediction error, an iterative algorithm is employed to ...

An understanding of the underlying mechanisms and the limitations of basic digital signal processing methods is essential for designing more complex algorithms, such as the recent contributions on ...