Results 101 to 110 of about 66,114 (285)
Systolic VLSI for Kalman filters [PDF]
A novel two-dimensional parallel computing method for real-time Kalman filtering is presented. The mathematical formulation of a Kalman filter algorithm is rearranged to be the type of Faddeev algorithm for generalizing signal processing.
Chang, J. J., Yeh, H.-G.
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Inference in Nonlinear Systems with Unscented Kalman Filters [PDF]
, 2016 An increasing number of scientific disciplines, most notably the life sciences and health care, have become more quantitative, describing complex systems with coupled nonlinear di↵erential equations.
Giurghita, Diana, Husmeier, Dirk
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A Kalman Filter Approach for Biomolecular Systems with Noise Covariance Updating
, 2018 An important part of system modeling is determining parameter values, particularly for biomolecular systems, where direct measurements of individual parameters are typically hard.
Chakrabarti, Kushal +3 more
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Nowcasting World Trade With Machine Learning: A Three‐Step Approach
Journal of Forecasting, EarlyView.ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn +2 more
wiley +1 more source
Effects of Personalization on Gait-State Tracking Performance Using Extended Kalman Filters. [PDF]
Rep U S, 2023 Montes-Pérez JA, Thomas GC, Gregg RD.
europepmc +1 more source
Modeling errors in Kalman filters [PDF]
Suboptimal filters based on erroneous models of system dynamics and on a priori ...
Nishimura, T.
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Distributing the Kalman Filter for Large-Scale Systems
, 2008 This paper derives a \emph{distributed} Kalman filter to estimate a sparsely connected, large-scale, $n-$dimensional, dynamical system monitored by a network of $N$ sensors. Local Kalman filters are implemented on the ($n_l-$dimensional, where $n_l\ll n$)
Khan, Usman A., Moura, Jose M. F.
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Dynamic Mode Decomposition (DMD) for Low‐Latency Real‐Time Cardiac MRI
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To demonstrate dynamic mode decomposition (DMD) for high spatiotemporal low‐latency online reconstruction in 2D real‐time cardiac MRI. Methods DMD was applied to 2D spiral balanced steady state free precession (bSSFP) real‐time adult and fetal cardiac MRI at 0.55 T, with data from 10 healthy adult volunteers (3F/7M; age: 21–49; BMI: 20–
Ecrin Yagiz +5 more
wiley +1 more source
Estimating Non Acceleration Inflation Rate of Unemployment (NAIRU): Using Different Filters in Iran [PDF]
Faslnāmah-i Pizhūhish/Nāmah-i Iqtisādī, 2012 NAIRU plays an important role in guiding monetary policy to control inflation and unemployment. The purpose of this paper is to estimate the so-called “Non- Accelerating Inflation Rate of Unemployment” (NAIRU) in Iran.
Ahmad Jafari Samimi +2 more
doaj
Simple and extended Kalman filters : an application to term structures of commodity prices. [PDF]
This article presents and compares two different Kalman filters. These methods provide a very interesting way to cope with the presence of non-observable variables, which is a frequent problem in finance. They are also very fast even in the presence of a
Galli, Alain, Lautier, Delphine
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