Likelihood function modeling of particle filter in presence of non-stationary non-gaussian measurement noise
A Mukherjee, A Sengupta - Signal Processing, 2010 - Elsevier
A generalized likelihood function model of a sampling importance resampling (SIR) particle
filter (PF) has been derived for state estimation of a nonlinear system in the presence of non …
filter (PF) has been derived for state estimation of a nonlinear system in the presence of non …
Adaptive Gaussian Filter Based on ICEEMDAN Applying in Non-Gaussian Non-stationary Noise
Y Zhang, Z Xu, L Yang - Circuits, Systems, and Signal Processing, 2024 - Springer
Gaussian filter (GF) is a commonly used linear filter in signal and image noise reduction.
However, its limitation is that it cannot adapt parameters to deal with non-stationary noise …
However, its limitation is that it cannot adapt parameters to deal with non-stationary noise …
非平稳非高斯测量噪声条件下改进差分粒子滤波算法研究
王宏健， 徐金龙， 李娟， 张爱华 - 兵工学报, 2014 - co-journal.com
针对非平稳非高斯测量噪声(NSNGN) 条件下差分粒子滤波(DDPF) 算法状态估计精度低,
易发散的问题, 提出了一种改进DDPF (IDDPF) 算法. IDDPF 算法采用高斯混合密度函数近似 …
易发散的问题, 提出了一种改进DDPF (IDDPF) 算法. IDDPF 算法采用高斯混合密度函数近似 …
Estimating the probability density function of a nonstationary non-Gaussian noise
A Mukherjee, A Sengupta - IEEE Transactions on Industrial …, 2010 - ieeexplore.ieee.org
The problem of estimating the probability density function (pdf) of a nonstationary non-
Gaussian noise is addressed. The non-Gaussian noise is modeled using Gaussian mixture …
Gaussian noise is addressed. The non-Gaussian noise is modeled using Gaussian mixture …
Distributed probability density function estimation of environmental function from sensor network data
A Mukherjee, D Mukherjee - 2013 International Conference on …, 2013 - ieeexplore.ieee.org
The problem of distributed estimation of the probability density function (PDF) of any
environmental function from sensor network measurement is addressed. The proposed …
environmental function from sensor network measurement is addressed. The proposed …
Real time probability density function estimation in sensor networks
A Mukherjee, U Datta - 2010 Sixth International conference on …, 2010 - ieeexplore.ieee.org
The real time probability density function (PDF) estimation of any environmental function
from sensor network measurement is addressed. The sensor measurement data is modeled …
from sensor network measurement is addressed. The sensor measurement data is modeled …