# Extraction of signals from noise

@inproceedings{Wainstein1970ExtractionOS,
title={Extraction of signals from noise},
author={Leonard Wainstein and V. D. Zubakov and Albert A. Mullin},
year={1970}
}
• Published 1970
• Computer Science
This book is devoted to problems involving extraction of signals from a background of random noise . By "extraction", we mean not only restoration of unknown (random) signals, but also detection of signals of Add this article to private library Remove from private library Submit corrections to this record View record in the new ADS known form together with measurement of unknown parameters of such signals. Much attention is given to radar problems. Thus, in addition to ordinary radio noise…
255 Citations
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Random template placement and prior information
Defining specific figures of merit allows one to combine both template metric and prior distribution and devise optimal sampling schemes over the parameter space and an example related to the gravitational wave signal from a binary inspiral event is shown.
Random template placement and prior information
Defining specific figures of merit allows one to combine both template metric and prior distribution and devise optimal sampling schemes over the parameter space and an example related to the gravitational wave signal from a binary inspiral event is shown.