Time delay estimation has been a research topic of significant practical importance in many
fields (radar, sonar, seismology, geophysics, ultrasonics, hands-free communications, etc.) …

US water utilities are faced with mounting operational and maintenance costs as a result of
aging pipeline infrastructures. Leaks and ruptures in water supply pipelines and blockages …

This paper presents a new direct Fourier-based algorithm for performing image-to-image
registration to subpixel accuracy, where the image differences are restricted to translations …

This paper studies the high-order consensus problem for heterogeneous multi-agent
systems with unknown communication delays. A necessary and sufficient condition is given …

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal
processing using examples and computer simulations drawn from a wide range of …

Time delay estimation has been a research topic of significant practical importance in many
fields (radar, sonar, seismology, geophysics, ultrasonics, hands-free communications, etc.) …

By using an adaptive technique similar to the one developed by Etter and Stearns (1981), a
novel constrained algorithm for explicit time delay estimation (TDE) is derived. The adaptive …

Recurrent neural networks have become popular models for system identification and time
series prediction. Nonlinear autoregressive models with exogenous inputs (NARX) neural …

This paper presents a two stage algorithm for real-time estimation of instantaneous tremor
parameters from gyroscope recordings. Gyroscopes possess the advantage of providing …

This paper studies a class of algorithms called natural gradient (NG) algorithms. The least
mean square (LMS) algorithm is derived within the NG framework, and a family of LMS …