Results 11 to 20 of about 9,957 (160)

A Probabilistic Perspective on Gaussian Filtering and Smoothing [PDF]

, 2010
15.07.13 KB. Ok to add report to Spiral.We present a general probabilistic perspective on Gaussian filtering and smoothing. This allows us to show that common approaches to Gaussian filtering/smoothing can be distinguished solely by their methods of ...
Deisenroth, MP, Ohlsson, H
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Binomial Gaussian mixture filter [PDF]

EURASIP Journal on Advances in Signal Processing, 2015
In this work, we present a novel method for approximating a normal distribution with a weighted sum of normal distributions. The approximation is used for splitting normally distributed components in a Gaussian mixture filter, such that components have smaller covariances and cause smaller linearization errors when nonlinear measurements are used for ...
Matti Raitoharju, Simo Ali-Löytty, Robert Piché   +2 more
openaire   +3 more sources

Improved Denoising of Structural Vibration Data Employing Bilateral Filtering

Sensors, 2020
With the continuous advancement of data acquisition and signal processing, sensors, and wireless communication, copious research work has been done using vibration response signals for structural damage detection.
Ning Liu, Thomas Schumacher
doaj   +1 more source

Robust Filtering and Smoothing with Gaussian Processes. [PDF]

, 2012
22.10.13 KB.
Hanebeck, UD, Marco F. Huber, Uwe D. Hanebeck, Huber, M., ,, Darby Turner, R., Carl Edward Rasmussen, Huber, M. F., Hanebeck, U. D., Huber, MF, Deisenroth, MP, Rasmussen, C. E., Rasmussen, CE, Turner, RD, Ryan Darby Turner, Deisenroth, M. P., Marc Peter Deisenroth, Turner, R.   +17 more
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A New Hybrid Filter Approach for Image Processing

Sakarya University Journal of Computer and Information Sciences, 2020
Today, with the rapidly advancing technology, the importance of image processing techniques is increasing. Image processing is used in many areas from facial recognition to plant disease identification. One of the important image processing stages is the
Osamah Khaled Musleh Salman, Bekir Aksoy
doaj   +1 more source

Penalized likelihood estimation and iterative kalman smoothing for non-gaussian dynamic regression models [PDF]

, 1995
Dynamic regression or state space models provide a flexible framework for analyzing non-Gaussian time series and longitudinal data, covering for example models for discrete longitudinal observations.
Fahrmeir, Ludwig, Wagenpfeil, Stefan
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Taxonomy of Vectorization Patterns of Programming for FIR Image Filters Using Kernel Subsampling and New One

Applied Sciences, 2018
This study examines vectorized programming for finite impulse response image filtering. Finite impulse response image filtering occupies a fundamental place in image processing, and has several approximated acceleration algorithms.
Yoshihiro Maeda, Norishige Fukushima, Hiroshi Matsuo   +2 more
doaj   +1 more source

A study on input noise second-order filtering and smoothing of linear stochastic discrete systems with packet dropouts

Advances in Difference Equations, 2020
We investigate non-Gaussian noise second-order filtering and fixed-order smoothing problems for non-Gaussian stochastic discrete systems with packet dropouts.
Huihong Zhao, Zhifang Li, Bin Li, Tongxing Li   +3 more
doaj   +1 more source

Multi-Modal Filtering for Non-linear Estimation [PDF]

, 2014
16.01.14 KB. Ok to add to spiral, authors retain copyrightMulti-modal densities appear frequently in time series and practical applications. However, they are not well represented by common state estimators, such as the Extended Kalman Filter and the ...
Deisenroth, Marc P, Deisenroth, MP, Peters, Jan, Kamthe, S, Deisenroth, M., Sanket Kamthe, Kamthe, Sanket, Kamthe, S., Jan Peters, Marc Peter Deisenroth, Peters, J., Peters, J   +11 more
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Robust Derivative Unscented Kalman Filter Under Non-Gaussian Noise

IEEE Access, 2018
A robust derivative unscented Kalman filter is proposed for a nonlinear system with non-Gaussian noise and outliers based on Huber function. In this paper, the time update process can be performed using a Kalman filter (KF), and measurement update ...
Lijian Yin, Zhihong Deng, Baoyu Huo, Yuanqing Xia, Cheng Li   +4 more
doaj   +1 more source