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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 peri- odic signals and to model-based estimation of such sig- nals from noisy observations. The signal model is based on Fourier series where both the coefficients and the fun- damental 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.

Abstract

We propose a new approach to modelling almost peri- odic signals and to model-based estimation of such sig- nals from noisy observations. The signal model is based on Fourier series where both the coefficients and the fun- damental 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.

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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
Language:English
Event End Date:28 August 2009
Deposited On:22 Feb 2010 15:43
Last Modified:11 Aug 2017 15:07
Funders:Swiss National Science Foundation (SNF)
Official URL:http://www.eurasip.org/Proceedings/Eusipco/Eusipco2009/contents/papers/1569191728.pdf
Related URLs:http://www.zora.uzh.ch/43306/

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