Variance reduction of prediction error using fractional digital differentiation: application to ECG signal processing

Variance reduction of prediction error using fractional digital differentiation: application to ECG signal processing

This paper presents a prediction error variance reduction procedure based on fractional digital differentiation with negative order. This reduction is achieved by increasing correlation in the signals. Applications to ECG signals show that savings of more than one bit per residual signal sample can...

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Bibliographic Details
Published in:2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 3; pp. 2170 - 2173 vol.3
Main Authors: Ferdi, Y., Herbeuval, J.P., Charef, A.
Format: Conference Proceeding
Language:English
Published: IEEE 2001
Subjects:
Autocorrelation
Digital filters
Digital signal processing
Electrocardiography
Error correction
Frequency
Mathematics
Sampling methods
Transfer functions
White noise
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Summary:This paper presents a prediction error variance reduction procedure based on fractional digital differentiation with negative order. This reduction is achieved by increasing correlation in the signals. Applications to ECG signals show that savings of more than one bit per residual signal sample can be attained.
ISBN:9780780372115
0780372115
ISSN:1094-687X
1558-4615
DOI:10.1109/IEMBS.2001.1017200