Results 121 to 130 of about 133,125 (287)

Vehicle Localization Kalman Filtering for Traffic Light Advisor Application in Urban Scenarios. [PDF]

Sensors (Basel), 2023
Vignarca D, Arrigoni S, Sabbioni E.
europepmc   +1 more source

Speech Enhancement Using Modulation-Domain Kalman Filtering With Active Speech Level Normalized Log-Spectrum Global Priors

, 2018
Mike Brookes, Nikolaos Dionelis
openalex   +1 more source

Robust CDF‐Filtering of a Location Parameter

Journal of Time Series Analysis, EarlyView.
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania, Andrew C. Harvey, Alessandra Luati   +2 more
wiley   +1 more source

Optimized Fractional-Order Extended Kalman Filtering for IMU-Based Attitude Estimation Using the Hippopotamus Algorithm. [PDF]

Sensors (Basel)
Yang X, Lin G, Wang J, Zhang L, Wen J, Li X.   +5 more
europepmc   +1 more source

Implementation of Kalman Filtering with Spiking Neural Networks. [PDF]

Sensors (Basel), 2022
Juárez-Lora A, García-Sebastián LM, Ponce-Ponce VH, Rubio-Espino E, Molina-Lozano H, Sossa H.   +5 more
europepmc   +1 more source

Comparing Kalman Filters and Observers for Power System Dynamic State Estimation With Model Uncertainty and Malicious Cyber Attacks

, 2018
Junjian Qi, Ahmad F. Taha, Jianhui Wang
openalex   +1 more source

Band‐Pass Filtering With High‐Dimensional Time Series. A Synthetic Indicator of the Medium‐to‐Long Run Component of Growth

Journal of Time Series Analysis, EarlyView.
ABSTRACT The paper deals with the construction of a synthetic indicator of economic growth, obtained by projecting a quarterly measure of aggregate economic activity, namely gross domestic product (GDP), into the space spanned by a finite number of smooth principal components, representative of the medium‐to‐long‐run component of economic growth of a ...
Alessandro Giovannelli, Marco Lippi, Tommaso Proietti   +2 more
wiley   +1 more source

Advanced signal-processing framework for remote photoplethysmography-based heart rate measurement: Integrating adaptive Kalman filtering with discrete wavelet transformation. [PDF]

PLoS One
Debnath U, Kim S.
europepmc   +1 more source

Cointegration in a MIDAS Regression

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT Mixed data sampling (MIDAS) cointegration models are used to analyse variables observed at different frequencies. In this paper, we start from an assumed autoregressive distributed lag (ADL) model for high‐frequency observations, and derive the resulting representation when the dependent variable is only observed at a lower frequency.
H. Peter Boswijk, Philip Hans Franses
wiley   +1 more source

Low-Cost Eye-Tracking Fixation Analysis for Driver Monitoring Systems Using Kalman Filtering and OPTICS Clustering. [PDF]

Sensors (Basel)
Brandstetter J, Knoch EM, Gauterin F.
europepmc   +1 more source