Multichannel blind deconvolution using the stochastic calculus for the estimation of the central arterial pressure
type: Item
instance of: scholarly article
title: Multichannel blind deconvolution using the stochastic calculus for the estimation of the central arterial pressure
zbMATH Open document ID: 1195.94021
DOI: 10.1155/2010/602373
author: Ahmed S. Abutaleb
author: M. El-Sayed Waheed
author: Nermeen M. Elhamy
published in: Mathematical Problems in Engineering
publication date: 2010-09-30T00:00:00Z
full work available at URL: https://eudml.org/doc/226611
review text: Summary: A new tool for estimation of both the central arterial pressure and the unknown channel dynamics has been developed. Given two peripheral waveform measurements, this new signal processing algorithm generates two models that represent the distinct branch dynamic behavior associated with the measured signals. The framework for this methodology is based on a Multichannel Blind Deconvolution (MBD) technique that has been reformulated to use Stochastic Calculus (SC). The technique is based on MBD of dynamic system are mathematically analyzed, in order to reconstruct the common unobserved input within an arbitrary scale factor. The convolution process is modeled as a Finite Impulse Response (FIR) filter with unknown coefficients. The source signal is also unknown. Assuming that one of the FIR filter coefficients are time varying, we have been able to get accurate estimation results for the source signal, even though the filter order is unknown. The time varying filter coefficients have been estimated through the SC algorithm, and we have been able to deconvolve the measurements and obtain both the source signal and the convolution path. The positive results demonstrate that the SC approach is superior to conventional methods.
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 76Z05
Mathematics Subject Classification ID: 92C35
Mathematics Subject Classification ID: 60H35
zbMATH DE Number: 5793772
MaRDI profile type: Publication
OpenAlex ID: W2002409338
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Wikidata QID: Q58653209
description: scientific article; zbMATH DE number 5793772