Please use this identifier to cite or link to this item: http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/623
Title: Effect of sampling on the parameter estimates of multicomponent transients
Authors: Jibia, Abdussamad U.
Salami, Momoh-Jimoh E.
Khalifa, Othman O.
Keywords: Sampling methods
Parameter estimation
Frequency
Discrete transforms
Bandwidth
Convolution
Signal sampling
Integral equations
Multiple signal classification
Deconvolution multiexponential
Gardner transform
Sampling
MUSIC
Minimum norm
Issue Date: 26-Feb-2010
Publisher: IEEE
Citation: Jibia, A. U., Salami, M. J. E., & Khalifa, O. O. (2010, February). Effect of sampling on the parameter estimates of multicomponent transients. In 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE) (Vol. 5, pp. 704-708). IEEE.
Abstract: The need to estimate the parameters of transient multiexponential signals frequently arises in different areas of applied science. A classical technique that has been frequently used with different modifications is the Gardner transform. Gardner transform is used to convert the original data signal into a convolution model. Converting this model into a discrete type for further analysis depends on the selection of correct sampling conditions. Previously, a relationship between the sampling frequency and the weighting factor in the modified Gardner transform was derived. In this paper, the effect of this relationship on the accuracy of parameter estimates is investigated.
URI: 10.1109/ICCAE.2010.5451334
http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/623
Appears in Collections:Research Articles

Files in This Item:
File Description SizeFormat 
Effect of sampling on the parameter estimates of multicomponent transients.pdfAbstract274.78 kBAdobe PDFThumbnail
View/Open


Items in EUSpace are protected by copyright, with all rights reserved, unless otherwise indicated.