Comparative Study of Sequential and Parallel Implementations of a Doppler Signal Spectral Estimator.
Madeira, M.M., Tokhi, M.O. and Ruano, M. Graca
(1998)
Comparative Study of Sequential and Parallel Implementations of a Doppler Signal Spectral Estimator.
Research Report.
ACSE Research Report 733
.
Department of Automatic Control and Systems Engineering
Abstract
Doppler signal spectral estimation has been used to evaluate blood flow parameters in order to diagnose cardiovascular diseases. The Modifies Covariance (MC) method has proved to provide accurate estimation of the two spectral parameters employed in clinical diagnosis, namely mean frequency bandwidth. The aim of this paper is to determine and efficient real-time implementation of the MC spectral estimator by investigating several architectures and implementation methods.
Metadata
Authors/Creators:
Madeira, M.M.
Tokhi, M.O.
Ruano, M. Graca
Copyright, Publisher and Additional Information:
The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
Keywords:
Digital signal processing: Doppler signal spectral estimator: Heterogeneous architectures: High performance computing: Homogeneous architectures: Real-time signal processing: Sequential processing; Parallel processing: Spectral estimation.
CORE (COnnecting REpositories)
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