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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Aldridge, M. |
| Copyright Year | 2012 |
| Description | Author affiliation: Heilbronn Institute for Mathematical Research, School of Mathematics, University of Bristol, UK (Aldridge, M.) |
| Abstract | Group testing is the combinatorial problem of identifying the defective items in a population by grouping items into test pools. Recently, nonadaptive group testing — where all the test pools must be decided on at the start — has been studied from an information theory point of view. Using techniques from channel coding, upper and lower bounds have been given on the number of tests required to accurately recover the defective set, even when the test outcomes can be noisy. In this paper, we give the first information-theoretic result on adaptive group testing — where the outcome of previous tests can influence the makeup of future tests. We show that adaptive testing does not help much, as the number of tests required obeys the same lower bound as nonadaptive testing. Our proof uses similar techniques to the proof that feedback does not improve channel capacity. |
| Starting Page | 1832 |
| Ending Page | 1836 |
| File Size | 95265 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467325806 |
| ISSN | 21578117 |
| e-ISBN | 9781467325790 |
| e-ISBN | 9781467325783 |
| DOI | 10.1109/ISIT.2012.6283596 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-07-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Testing Yttrium Channel coding Adaptation models Error probability Noise measurement Mutual information |
| Content Type | Text |
| Resource Type | Article |
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