Journal article
Least squares deconvolution in wavelet domain for 1/f driven LTI systems
ICASSP proceedings (1980), v 2, pp 721-724
01 Jan 2000
Abstract
In this paper we propose a least squares deconvolution method in the wavelet domain for linear time-invariant (LTI) systems with 1/f type input signals. We model the output of the system as convolution of the impulse response and the input signal, which exhibits 1/f type spectral behavior. Our aim in solving the deconvolution problem is to estimate a filter which approximates the inverse of the impulse response, so that by applying this filter to the output data we can estimate the input signal. In order to achieve this objective, we use the wavelet transform and its properties for 1/f signals, where the logarithm of the variance of the wavelet coefficients in each stage progresses linearly. We define an error criterion in the wavelet domain whose minimization yields the optimum inverse filter. We present the error minimization algorithm and the simulation results.
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Details
- Title
- Least squares deconvolution in wavelet domain for 1/f driven LTI systems
- Creators
- Meltem Izzetoglu - Drexel UniversityTayfun AkgulBanu OnaralNihat BilgutayIEEE, SIGNAL PROC SOC
- Publication Details
- ICASSP proceedings (1980), v 2, pp 721-724
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000088999500181
- Scopus ID
- 2-s2.0-0033709039
- Other Identifier
- 991019170568004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Acoustics
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Engineering, Electrical & Electronic