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 ...

Vibration analysis is one of the most effective non-destructive testing methods ... or Group Method of Data Handling, represents a recursive algorithm employed in modeling relationships between input ...

From driving cancer research forward to accurately predicting the weather, Computer Scientists are powering progress. In fact everything from social care to cybersecurity or even space travel, relies ...

This repository contains files for a recursive Python implementation of the Fast Fourier Transform (FFT) and several examples on its properties, applications, and links to Fourier Transforms.

School of Civil Engineering, Central South University, Changsha 410075, P. R. China ...

M. Aharon, M. Elad and A. Bruckstein, K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation, IEEE Trans. Signal Process. 54(11) (2006) 4311–4322. Crossref, Web of ...