Study and Performance Evaluation of Two Iterative Frequency-Domain Deconvolution Techniques
- 1 January 1984
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Instrumentation and Measurement
- Vol. 33 (4) , 281-287
- https://doi.org/10.1109/tim.1984.4315225
Abstract
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.Keywords
This publication has 3 references indexed in Scilit:
- Study and Performance Evaluation of Two Iterative Frequency-Domain Deconvolution TechniquesIEEE Transactions on Instrumentation and Measurement, 1984
- An Optimization Criterion for Iterative DeconvolutionIEEE Transactions on Instrumentation and Measurement, 1983
- Deconvolution of time domain waveforms in the presence of noisePublished by National Institute of Standards and Technology (NIST) ,1981