Results 21 to 30 of about 131,948 (262)
Applied Sciences, 2021 Isotropy is an important feature of an area filter in the three-dimensional surface roughness evaluation. First, the transmission characteristic deviation between the approximating spline filter and the Gaussian filter is reduced by cascading ...
Baofeng He +3 more
doaj +1 more source
On dimension reduction in Gaussian filters [PDF]
Inverse Problems, 2016 A priori dimension reduction is a widely adopted technique for reducing the computational complexity of stationary inverse problems. In this setting, the solution of an inverse problem is parameterized by a low-dimensional basis that is often obtained from the truncated Karhunen-Loeve expansion of the prior distribution.
Hakkarainen, Janne +3 more
openaire +5 more sources
Impact of the non-Gaussian measurement noise on the performance of state-of-the-art state estimators for distribution systems [PDF]
Serbian Journal of Electrical EngineeringThis paper aims to investigate the impact of non-Gaussian measurement noise on state estimation (SE) results in distribution systems. To this end, the measurement noise is assumed to be distributed according to Gaussian or one of the following ...
Čubonović Stefan +2 more
doaj +1 more source
Journal of Algorithms & Computational Technology, 2021 The Gaussian inverse Wishart probability hypothesis density filter is a promising approach for tracking multiple extended targets. However, if targets are closely spaced and performing maneuvers, the performance of a Gaussian inverse Wishart probability ...
Peng Li +3 more
doaj +1 more source
A novel edge detection method based on efficient gaussian binomial filter
IJAIN (International Journal of Advances in Intelligent Informatics), 2021 Most basic and recent image edge detection methods are based on exploiting spatial high-frequency to localize efficiency the boundaries and image discontinuities.
El Houssain Ait Mansour +1 more
doaj +1 more source
Gaussian sum particle filtering [PDF]
IEEE Transactions on Signal Processing, 2003 We use the Gaussian particle filter to build several types of Gaussian sum particle filters. These filters approximate the filtering and predictive distributions by weighted Gaussian mixtures and are basically banks of Gaussian particle filters. Then, we extend the use of Gaussian particle filters and Gaussian sum particle filters to dynamic state ...
Jayesh H. Kotecha, Petar M. Djuric
openaire +1 more source
Gaussian Embeddings for Collaborative Filtering [PDF]
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017 Most collaborative filtering systems, such as matrix factorization, use vector representations for items and users. Those representations are deterministic, and do not allow modeling the uncertainty of the learned representation, which can be useful when a user has a small number of rated items (cold start), or when there is conflicting information ...
dos Santos, Ludovic +2 more
openaire +2 more sources
The Filtered Gaussian Primitive Diamond Channel [PDF]
2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS), 2021 IEEE COMCAS, 1-3 NOVEMBER 2021, TEL AVIV ...
Asif Katz +2 more
openaire +4 more sources
Low-Pass Filtering Method for Poisson Data Time Series
Applied Sciences, 2021 Problems of digital processing of Poisson-distributed data time series from various counters of radiation particles, photons, slow neutrons etc. are relevant for experimental physics and measuring technology.
Victor Getmanov +9 more
doaj +1 more source
An Efficient Gaussian Sum Filter Based on Prune-Cluster-Merge Scheme
IEEE Access, 2019 The main problem for the state estimation with Gaussian mixture model is the exponentially growing number of Gaussian components. To solve this problem, an efficient Gaussian sum filter (GSF) based on the prune-cluster-merge (PCM) scheme-based Gaussian ...
Yang Xu +3 more
doaj +1 more source