A delay damage model selection algorithm for NARX neural networks
Recurrent neural networks have become popular models for system identification and time
series prediction. Nonlinear autoregressive models with exogenous inputs (NARX) neural …
series prediction. Nonlinear autoregressive models with exogenous inputs (NARX) neural …
New perspectives for maximum likelihood time-delay estimation
JA Stuller, N Hubing - IEEE transactions on signal processing, 1997 - ieeexplore.ieee.org
This paper introduces a new realization for maximum likelihood time-delay estimation (TDE)
that illuminates the relationships between maximum likelihood TDE and other methods. We …
that illuminates the relationships between maximum likelihood TDE and other methods. We …
Performance of 3D speaker localization using a small array of microphones
PS Chang, AN Willson - Conference Record of the Thirty-First …, 1997 - ieeexplore.ieee.org
Automatic speaker localization is an important feature in several applications such as
videoconferencing and distance learning, where usually only a small array of microphones …
videoconferencing and distance learning, where usually only a small array of microphones …
Low complexity parameter estimation approach for fast time-delay estimation
C Carlemairn, S Halvarsson… - Proceedings of the 36th …, 1997 - ieeexplore.ieee.org
Presents algorithms for time-delay estimation based on a parametric approach. The
suggested methods combine an exhaustive search with a low complexity since they do not …
suggested methods combine an exhaustive search with a low complexity since they do not …
Adaptive lms delay measurement in dual blood volume pulse signals for non-invasive monitoring [photoplethysmography]
AB Barreto, CD Aguilar… - Proceedings of the 1997 …, 1997 - ieeexplore.ieee.org
The performance of two adaptive algorithms, the LMS and the adaptive delay algorithm, for
measuring the actual delay between two blood volume pulse (BVP) signals is studied …
measuring the actual delay between two blood volume pulse (BVP) signals is studied …