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Modelling and filtering almost periodic signals by time-varying fourier series with application to near-infrared spectroscopy

Trajkovic, I; Reller, C; Wolf, M; Loeliger, H A (2009). Modelling and filtering almost periodic signals by time-varying fourier series with application to near-infrared spectroscopy. In: EUSIPCO 2009, Glasgow, Scotland, 24 August 2009 - 28 August 2009, 632-636.

Abstract

We propose a new approach to modelling almost periodic signals and to model-based estimation of such signals from noisy observations. The signal model is based on Fourier series where both the coefficients and the fundamental frequency can continuously change over time. This signal model can be represented by a factor graph which we use to derive message passing algorithms to estimate the time-dependent model parameters from the observed samples.

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Neonatology
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Physical Sciences > Signal Processing
Physical Sciences > Electrical and Electronic Engineering
Language:English
Event End Date:28 August 2009
Deposited On:22 Feb 2010 15:43
Last Modified:28 Jun 2022 08:06
Funders:Swiss National Science Foundation (SNF)
OA Status:Green
Official URL:http://www.eurasip.org/Proceedings/Eusipco/Eusipco2009/contents/papers/1569191728.pdf
Related URLs:https://www.zora.uzh.ch/43306/
Project Information:
  • Funder: SNSF
  • Grant ID:
  • Project Title: Swiss National Science Foundation (SNF)

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