DocumentCode
3025908
Title
Sectioned digital filtering for nonlinear Bayesian signal deconvolution
Author
Hunt, B.R. ; Trussell, H.J.
Author_Institution
University of Arizona, Tucson, AZ
Volume
1
fYear
1976
fDate
27851
Firstpage
354
Lastpage
356
Abstract
Signal deconvolution is a problem commonly found in digital signal processing. If the recorded data is a nonlinear transformation of the degraded data, then linear techniques for deconvolution are not applicable. Herein we review the nonlinear Bayesian estimate for deconvolution and show that it may be implemented in a sectioned form for processing on-going data streams.
Keywords
Additive noise; Bayesian methods; Convolution; Deconvolution; Degradation; Digital filters; Filtering; Integral equations; Sensor phenomena and characterization; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '76.
Type
conf
DOI
10.1109/ICASSP.1976.1170135
Filename
1170135
Link To Document