During the last two decades there has been a growing interest in Particle Filtering (PF).
However, PF suffers from two long-standing problems that are referred to as sample …

We review some advances of the particle filtering (PF) algorithm that have been achieved in
the last decade in the context of target tracking, with regard to either a single target or …

The particle filter was popularized in the early 1990s and has been used for solving
estimation problems ever since. The standard algorithm can be understood and …

摘要本文梳理了粒子滤波理论基本内容, 发展脉络和最新研究进展, 特别是对其在多目标跟踪
应用中的一系列难点问题与主流解决思路进行了详细分析和报道. 常规粒子滤波研究重点主要 …

To achieve comprehensive insulation deterioration motoring of power equipment and early
fault warning in air‐insulated substations, a data‐driven partial discharge (PD) source …

The ability to extract state-estimates for each target of a multi-target posterior, referred to as
multi-estimate extraction (MEE), is an essential requirement for a multi-target filter, whose …

Generally, particle filters need a large number of particles to approximate the posterior for
the purpose of ideal effect. Previous methods extract remarkable particles from the particles …

We study the problem of rapidly identifying contact dynamics of unknown objects in partially
known environments. The key innovation of our method is a novel formulation of the contact …

The probability hypothesis density (PHD) filter, which is used for multi-target tracking based
on sensor measurements, relies on the propagation of the first-order moment, or intensity …

Prognosis on microelectronics devices has gained wide attention due to its usability in wide
range of applications. In this work, we have explored the degradation of Power MOSFETs …