Study and Performance Evaluation of Two Iterative Frequency-Domain Deconvolution Techniques

The performance of two iterative frequency-domain deconvolution techniques, the optimum compensation and the Guillaume-Nahman, is evaluated. The study involved the characterization of the adaptive filters utilized to reduce the deconvolution noise. Comparisons between the two techniques are performe...

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Bibliographic Details
Published inIEEE transactions on instrumentation and measurement Vol. 33; no. 4; pp. 281 - 287
Main Authors Parruck, Bidyut, Riad, Sedki M.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 1984
Institute of Electrical and Electronics Engineers
Subjects
Adaptive filters
Applied sciences
Computer errors
Convolution
Deconvolution
Exact sciences and technology
Frequency domain analysis
Information, signal and communications theory
Noise level
Noise reduction
Passband
Telecommunications and information theory
Time domain analysis
Yield estimation
Deconvolution
Compensation
Iterative method
Low pass filter
Adaptive filter
Background noise
Electric filter
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Summary:The performance of two iterative frequency-domain deconvolution techniques, the optimum compensation and the Guillaume-Nahman, is evaluated. The study involved the characterization of the adaptive filters utilized to reduce the deconvolution noise. Comparisons between the two techniques are performed for various classes of signals having different levels of acquisition noise. It is found that the Guillaume-Nahman technique is potentially more accurate but more sensitive to acquisition noise. It is also found that the optimum compensation deconvolution technique uses an adaptive filtet with the passbands coinciding with the frequency bands of the signal, thus optimizing noise filtration, while the Guillaume-Nahman technique utilizes a low-pass filter for all signals.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.1984.4315225