Jun 8, 2015 · Abstract—This article investigates into the estimation of time varying amplitude and phase trajectories of sinusoidal signal components. The new ...
Abstract—This paper investigates the estimation of time varying amplitude and phase trajectories of sinusoidal signal components.
Dec 31, 2005 · Abstract: This paper investigates the estimation of time varying amplitude and phase trajectories of sinusoidal signal components.
This paper investigates the estimation of time varying amplitude and phase trajectories of sinusoidal signal components.
An investigation of window effects on the frequency estimation using the phase vocoder · Adaptive additive modeling with continuous parameter trajectories.
In this paper, we consider fitting a flexible and interpretable additive regression model in a data-rich setting. We wish to avoid pre-specifying the ...
Missing: trajectories. | Show results with:trajectories.
Feb 11, 2023 · We propose a novel Adaptive model training strategy for CCTS (ACCTS). Its adaptability represents two aspects: (1) Adaptive multi-distribution extraction ...
The AA algorithm is an iterative algorithm that utilizes the Fourier Transform to calculate an unknown part of a propagating wave, normally the spatial ...
This work introduces reduced models based on Continuous Low Rank. Adaptation (CoLoRA) that pre-train neural networks for a given partial.
Nov 3, 2023 · a A NN model learns from a discrete set of points (red dots) that are generated by a dynamical system with an underlying continuous trajectory ( ...