Results 21 to 30 of about 1,239,591 (239)
Efficient Monte Carlo filtering for discretely observed jumping processes [PDF]
, 2007 This paper addresses a tracking problem in which the unobserved process is characterised by a collection of random jump times and associated random parameters.
Simon Godsill +5 more
core +1 more source
Algorithms for Quantum Simulation at Finite Energies
PRX Quantum, 2021 We introduce two kinds of quantum algorithm to explore microcanonical and canonical properties of many-body systems. The first is a hybrid quantum algorithm that, given an efficiently preparable state, computes expectation values in a finite energy ...
Sirui Lu +2 more
doaj +1 more source
Multiple particle filtering for tracking wireless agents via Monte Carlo likelihood approximation
EURASIP Journal on Advances in Signal Processing, 2019 The localization of multiple wireless agents via, for example, distance and/or bearing measurements is challenging, particularly if relying on beacon-to-agent measurements alone is insufficient to guarantee accurate localization. In these cases, agent-to-
Stephan Schlupkothen, Gerd Ascheid
doaj +1 more source
Hybrid Monte Carlo on Hilbert spaces [PDF]
, 2011 The Hybrid Monte Carlo (HMC) algorithm provides a framework for sampling from complex, high-dimensional target distributions. In contrast with standard Markov chain Monte Carlo (MCMC) algorithms, it generates nonlocal, nonsymmetric moves in the state ...
Beskos, A +15 more
core +1 more source
Nonlinear Engineering, 2023 In order to achieve facial object detection and tracking in video, a method based on nonlinear sequence Monte Carlo filtering technology is proposed. The algorithm is simple, effective, and easy to operate, which can solve the problems of scale change ...
Du Yunming, Liu Yi, Tian Jing
doaj +1 more source
INVESTIGATION OF BIOLOGICAL OBJECTS IN OPTICAL COHERENCE TOMOGRAPHY WITH DATA PROCESSING BY SEQUENTIAL MONTE CARLO METHOD [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2014 A possibility of sequential Monte Carlo method application for data processing in the full-field optical coherent tomography for studying of biological objects is demonstrated.
M. A. Volynsky +2 more
doaj
Radio Frequency Interference Detection and Mitigation Algorithms Based on Spectrogram Analysis
Algorithms, 2011 Radio Frequency Interference (RFI) detection and mitigation algorithms based on a signal’s spectrogram (frequency and time domain representation) are presented.
Jose Miguel Tarongi, Adriano Camps
doaj +1 more source
Convergence of the SMC implementation of the PHD filter [PDF]
, 2005 The probability hypothesis density (PHD) filter is a first moment approximation to the evolution of a dynamic point process which can be used to approximate the optimal filtering equations of the multiple-object tracking problem.
Singh, Sumeetpal S. (Sumeetpal Sidhu) +9 more
core +1 more source
New Journal of Physics, 2017 A major challenge facing existing sequential Monte Carlo methods for parameter estimation in physics stems from the inability of existing approaches to robustly deal with experiments that have different mechanisms that yield the results with equivalent ...
Christopher Granade, Nathan Wiebe
doaj +1 more source
LSTM-Based Path Prediction for Effective Sensor Filtering in Sensor Registry System
Sensors, 2021 The Internet of Things (IoT) is expected to provide intelligent services by receiving heterogeneous data from ambient sensors. A mobile device employs a sensor registry system (SRS) to present metadata from ambient sensors, then connects directly for ...
Haotian Chen +3 more
doaj +1 more source