Effect of sampling on the parameter estimates of multicomponent transients
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Date
2010-02-26
Journal Title
Journal ISSN
Volume Title
Publisher
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.
Description
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
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.