NDLI: In-time non-iterative fast-algorithm for support constrained deconvolution

Content Provider	IEEE Xplore Digital Library
Author	Prost, R. Goutte, R.
Copyright Year	1983
Description	Author affiliation: Institut National des Sciences, Villeurbanne cedex, France (Prost, R.)
Abstract	It has been shown, in the kernel splitting method for support constrained deconvolution recently presented, that the restored signal can be obtained from an infinite series of time-functions. In the present work it is proved that the series is finite when the convolution kernel is left-time-limited. Each function of the series is itself a series built from delayed replicas of the convolved signal multiplied by weighted and delayed rectangular windows. The non-overlapping time-regions of the windows are first located and then by zero trivial multiplication are not computed. Then an in-time non-iterative fast algorithm is deduced. Finally the input recovery of a linear system whose transfer function vanishes at several points is investigated both with a noise-free or a noisy output signal. In these conditions where inverse filtering fails, the present algorithm works well.
Starting Page	647
Ending Page	650
File Size	73057
Page Count	4
File Format	PDF
DOI	10.1109/ICASSP.1983.1172255
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1983-04-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Deconvolution Kernel Equations Signal restoration Convolution Filtering Time series analysis Delay Frequency estimation Linear systems
Content Type	Text
Resource Type	Article

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