Respiratory parameter estimation in non-invasive ventilation based on generalized Gaussian noise models

DOI10.1016/j.sigpro.2009.07.015zbMath1177.94070OpenAlexW1985481522WikidataQ118176485 ScholiaQ118176485MaRDI QIDQ1048845

Esra Saatci, Aydin Akan

Publication date: 8 January 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2009.07.015

zbMATH Keywords

maximum likelihood estimationbiomedical signal processinggeneralized Gaussian distributionrespiratory models

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Medical applications (general) (92C50) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Statistical aspects of information-theoretic topics (62B10)

Related Items (4)

Estimation of stochastic environment force for master-slave robotic system ⋮ Exact distributions of order statistics from \(l_{n,p}\)-symmetric sample distributions ⋮ On \((p_{1},\dots,p_{k})\)-spherical distributions ⋮ Simulation of thep-generalized Gaussian distribution

Cites Work

• Image thresholding based on the EM algorithm and the generalized Gaussian distribution
• Exponent parameter estimation for generalized Gaussian probability density functions with application to speech modeling
• Kalman filter with a non-linear non-Gaussian observation relation
• Meridian Filtering for Robust Signal Processing

This page was built for publication: Respiratory parameter estimation in non-invasive ventilation based on generalized Gaussian noise models