Title :
Sectioned digital filtering for nonlinear Bayesian signal deconvolution
Author :
Hunt, B.R. ; Trussell, H.J.
Author_Institution :
University of Arizona, Tucson, AZ
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '76.
DOI :
10.1109/ICASSP.1976.1170135
