Matches in SemOpenAlex for { <https://semopenalex.org/work/W1617792581> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W1617792581 abstract "Estimating the number of signals embedded in noise is a fundamental problem in signal processing. As a classic estimator based on random matrix theory (RMT), the RMT estimator estimates the number of signals via sequentially testing the likelihood of an eigenvalue as arising from a signal or noise for a given over-detection probability. However, it tends to under-estimate the number of signals as weak signal eigenvalues may be immersed in the non-negligible bias term among eigenvalues for finite sample size. In order to solve this problem, we propose an RMT estimator with adaptive decision criterion (termed as RMT-ADC estimator) by adaptively incorporating the bias term into the decision criterion of the RMT estimator. Firstly, we analyze the effect of this bias term among eigenvalues on the estimation performance of the RMT estimator. Then, we derive both the decreased over-estimation probability and the increased under-estimation probability of the RMT estimator incurred by the bias term when assuming the eigenvalue being tested is arising from a signal, and also derive the increased under-estimation probability of the RMT estimator incurred by the bias term when assuming the eigenvalue being tested is arising from noise. Based on these results, the RMT-ADC estimator can adaptively determine whether the noise variance should be estimated under the assumption that the eigenvalue being tested is arising from a signal or from noise, and thus can adaptively select its decision criterion. Moreover, the RMT-ADC estimator can adaptively determine whether the bias term among eigenvalues should be incorporated into the selected decision criterion or not. Therefore, the RMT-ADC estimator can avoid the higher under-estimation probability of the RMT estimator. Finally, simulation results are presented to show that the proposed RMT-ADC estimator significantly outperforms the existing estimators." @default.
- W1617792581 created "2016-06-24" @default.
- W1617792581 creator A5030259681 @default.
- W1617792581 date "2014-05-19" @default.
- W1617792581 modified "2023-09-27" @default.
- W1617792581 title "Local signal search enhanced RMT estimator for estimating the number of signals based on random matrix theory." @default.
- W1617792581 cites W1586554030 @default.
- W1617792581 cites W1715182659 @default.
- W1617792581 cites W1814500939 @default.
- W1617792581 cites W1964492749 @default.
- W1617792581 cites W2060581589 @default.
- W1617792581 cites W2066459155 @default.
- W1617792581 cites W2078966899 @default.
- W1617792581 cites W2088872013 @default.
- W1617792581 cites W2090980101 @default.
- W1617792581 cites W2096710051 @default.
- W1617792581 cites W2099551908 @default.
- W1617792581 cites W2103437658 @default.
- W1617792581 cites W2106084579 @default.
- W1617792581 cites W2111811190 @default.
- W1617792581 cites W2123226256 @default.
- W1617792581 cites W2125301308 @default.
- W1617792581 cites W2149538437 @default.
- W1617792581 cites W2150307184 @default.
- W1617792581 cites W2152687999 @default.
- W1617792581 cites W2155421090 @default.
- W1617792581 cites W2162654459 @default.
- W1617792581 cites W2170852717 @default.
- W1617792581 cites W3105364218 @default.
- W1617792581 cites W93530381 @default.
- W1617792581 hasPublicationYear "2014" @default.
- W1617792581 type Work @default.
- W1617792581 sameAs 1617792581 @default.
- W1617792581 citedByCount "0" @default.
- W1617792581 crossrefType "posted-content" @default.
- W1617792581 hasAuthorship W1617792581A5030259681 @default.
- W1617792581 hasConcept C105795698 @default.
- W1617792581 hasConcept C11413529 @default.
- W1617792581 hasConcept C115961682 @default.
- W1617792581 hasConcept C121332964 @default.
- W1617792581 hasConcept C154945302 @default.
- W1617792581 hasConcept C158693339 @default.
- W1617792581 hasConcept C164172150 @default.
- W1617792581 hasConcept C165646398 @default.
- W1617792581 hasConcept C167928553 @default.
- W1617792581 hasConcept C185429906 @default.
- W1617792581 hasConcept C28826006 @default.
- W1617792581 hasConcept C33923547 @default.
- W1617792581 hasConcept C41008148 @default.
- W1617792581 hasConcept C62520636 @default.
- W1617792581 hasConcept C64812099 @default.
- W1617792581 hasConcept C99498987 @default.
- W1617792581 hasConceptScore W1617792581C105795698 @default.
- W1617792581 hasConceptScore W1617792581C11413529 @default.
- W1617792581 hasConceptScore W1617792581C115961682 @default.
- W1617792581 hasConceptScore W1617792581C121332964 @default.
- W1617792581 hasConceptScore W1617792581C154945302 @default.
- W1617792581 hasConceptScore W1617792581C158693339 @default.
- W1617792581 hasConceptScore W1617792581C164172150 @default.
- W1617792581 hasConceptScore W1617792581C165646398 @default.
- W1617792581 hasConceptScore W1617792581C167928553 @default.
- W1617792581 hasConceptScore W1617792581C185429906 @default.
- W1617792581 hasConceptScore W1617792581C28826006 @default.
- W1617792581 hasConceptScore W1617792581C33923547 @default.
- W1617792581 hasConceptScore W1617792581C41008148 @default.
- W1617792581 hasConceptScore W1617792581C62520636 @default.
- W1617792581 hasConceptScore W1617792581C64812099 @default.
- W1617792581 hasConceptScore W1617792581C99498987 @default.
- W1617792581 hasLocation W16177925811 @default.
- W1617792581 hasOpenAccess W1617792581 @default.
- W1617792581 hasPrimaryLocation W16177925811 @default.
- W1617792581 hasRelatedWork W1618819511 @default.
- W1617792581 hasRelatedWork W185105768 @default.
- W1617792581 hasRelatedWork W1965772473 @default.
- W1617792581 hasRelatedWork W2001320443 @default.
- W1617792581 hasRelatedWork W2007902661 @default.
- W1617792581 hasRelatedWork W2026084680 @default.
- W1617792581 hasRelatedWork W2039053460 @default.
- W1617792581 hasRelatedWork W2067871482 @default.
- W1617792581 hasRelatedWork W2083016242 @default.
- W1617792581 hasRelatedWork W2113249205 @default.
- W1617792581 hasRelatedWork W2135545027 @default.
- W1617792581 hasRelatedWork W2149882689 @default.
- W1617792581 hasRelatedWork W2164142882 @default.
- W1617792581 hasRelatedWork W2167115386 @default.
- W1617792581 hasRelatedWork W2271260095 @default.
- W1617792581 hasRelatedWork W2624763682 @default.
- W1617792581 hasRelatedWork W2943753912 @default.
- W1617792581 hasRelatedWork W2954562000 @default.
- W1617792581 hasRelatedWork W3000696348 @default.
- W1617792581 hasRelatedWork W3193819012 @default.
- W1617792581 isParatext "false" @default.
- W1617792581 isRetracted "false" @default.
- W1617792581 magId "1617792581" @default.
- W1617792581 workType "article" @default.