Sequential Statistical Signal Processing with Applications to Distributed Systems
Detection and estimation, two classical statistical signal processing problems with wellestablished theories, are traditionally studied under the fixed-sample-size and centralized setups, e.g., Neyman-Pearson target detection, and Bayesian parameter estimation. Recently, they appea...
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| Language: | English |
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2014
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| Online Access: | https://doi.org/10.7916/D8GX48W5 |