Results 61 to 70 of about 2,865,260 (284)
Linear and nonlinear filtering in mathematical finance: a review [PDF]
, 2010 Copyright @ The Authors 2010This paper presents a review of time series filtering and its applications in mathematical finance. A summary of results of recent empirical studies with market data are presented for yield curve modelling and stochastic ...
Date, P +3 more
core +1 more source
A Review of Nonlinear Filtering Algorithms in Integrated Navigation Systems
SensorsNonlinear filtering algorithms have significant implications in the optimal estimation of navigation states and in improving the accuracy, reliability, and robustness of navigation systems.
Jiaqian Si, Yanxiong Niu, Botao Wang
doaj +1 more source
Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
Optimal Kalman Filtering for a Class of State Delay Systems with Randomly Multiple Sensor Delays
Abstract and Applied Analysis, 2014 The optimal Kalman filtering problem is investigated for a class of discrete state delay stochastic systems with randomly multiple sensor delays. The phenomenon of measurement delay occurs in a random way and the delay rate for each sensor is described ...
Dongyan Chen, Long Xu
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Space-Borne GNSS-R Ionospheric Delay Error Elimination by Optimal Spatial Filtering
Sensors, 2020 Global Navigation Satellite System Reflectometry (GNSS-R) technology is a new and promising remote sensing technology, especially satellite-based GNSS-R remote sensing, which has broad application prospects. In this work, the ionospheric impacts on space-
Qiuyang Zhang, Yang Liu, Junming Xia
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Optimal Filtering in the Salamander Retina [PDF]
, 1992 The dark-adapted visual system can count photons with a reliability limited by thermal noise in the rod photoreceptors - the processing circuitry between the rod cells and the brain is essentially noiseless and in fact may be close to optimal. Here we design an optimal signal processor which estimates the time-varying light intensity at the retina ...
Fred Rieke +2 more
openaire +2 more sources
Molecular Oncology, EarlyView.In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source
Sensors, 2001 In this paper a Kalman filter is used to cancel noise and interference contained in two accelerometers embedded in a car under performance tests. Here, the frequency bands of the signals of interest and their noise (deterministic as well as stochastic ...
Wilmar Hernández
doaj +1 more source
Optimal Gaussian Filter for Effective Noise Filtering
CoRR, 2014 In this paper we show that the knowledge of noise statistics contaminating a signal can be effectively used to choose an optimal Gaussian filter to eliminate noise. Very specifically, we show that the additive white Gaussian noise (AWGN) contaminating a signal can be filtered best by using a Gaussian filter of specific characteristics.
Sunil Kumar Kopparapu, M. Satish
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Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source