Results 31 to 40 of about 1,310 (144)
Introducing Mexican needlets for CMB analysis: Issues for practical applications and comparison with standard needlets [PDF]
, 2011 Over the last few years, needlets have a emerged as a useful tool for the analysis of Cosmic Microwave Background (CMB) data. Our aim in this paper is first to introduce in the CMB literature a different form of needlets, known as Mexican needlets, first
A. Mayeli +18 more
core +1 more source
Robust Filtering and Smoothing with Gaussian Processes
, 2012 We propose a principled algorithm for robust Bayesian filtering and smoothing in nonlinear stochastic dynamic systems when both the transition function and the measurement function are described by non-parametric Gaussian process (GP) models.
, +5 more
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Low-cost sensors based multi-sensor data fusion techniques for RPAS navigation and guidance [PDF]
, 2015 In order for Remotely Piloted Aircraft Systems (RPAS) to coexist seamlessly with manned aircraft in non-segregated airspace, enhanced navigational capabilities are essential to meet the Required Navigational Performance (RNP) levels in all flight phases.
Cappello, F +3 more
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Depth-Based Object Tracking Using a Robust Gaussian Filter
, 2016 We consider the problem of model-based 3D-tracking of objects given dense depth images as input. Two difficulties preclude the application of a standard Gaussian filter to this problem.
Bohg, Jeannette +5 more
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Iterated Posterior Linearization Smoother [PDF]
, 2017 This note considers the problem of Bayesian smoothing in nonlinear state-space models with additive noise using Gaussian approximations. Sigma-point approximations to the general Gaussian Rauch-Tung-Striebel smoother are widely used methods to tackle ...
Garcia-Fernandez, Angel F +2 more
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Adaptive High Manoeuvring Target Tracking Algorithm Based on CNN‐LSTM Fusion Architecture
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.To solve the problems of model switching lag and tracking accuracy decline in interacting multiple model (IMM) algorithm in complex manoeuvring target tracking, an adaptive interacting multiple model unscented Kalman filter (IMM‐UKF) algorithm based on convolutional neural network and long short‐term memory network (CNN‐LSTM) fusion architecture is ...
Yuhan Cui +3 more
wiley +1 more source
A Novel Case of Practical Exponential Observer Using Extended Kalman Filter [PDF]
, 2018 This technical note presents a case of practical exponential observer using extended Kalman filter (EKF) independent of certain restrictions, such as online check and estimation error of initial state.
Deng, Z +10 more
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BP Neural Network–Based Kalman Filtering Method Under Multiple Cyberattacks
IET Signal Processing, Volume 2026, Issue 1, 2026.This paper proposes a Kalman‐gain‐driven neural Kalman filtering (KF) defense framework, termed KFDBP, for secure state estimation in cyber–physical systems (CPSs) under denial‐of‐service (DoS), spoofing, and replay attacks. Unlike end‐to‐end neural filtering approaches such as KalmanNet that directly learn state estimators or implicitly approximate ...
Zijing Li +7 more
wiley +1 more source
Reduced-Complexity Algorithms for Indoor Map-Aware Localization Systems [PDF]
, 2015 The knowledge of environmental maps (i.e., map-awareness) can appreciably improve the accuracy of optimal methods for position estimation in indoor scenarios.
MONTORSI, FRANCESCO +2 more
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IET Signal Processing, Volume 2026, Issue 1, 2026.The implementation of Kalman filter (KF) in tracking high‐dimensional, strongly correlated graph structured data is often complex and unstable. Meanwhile, in practical applications, the system may be subject to interference from non‐Gaussian noise and various cyberattacks.
Bingyu Yin, Xinmin Song, Wenling Li
wiley +1 more source