Matches in SemOpenAlex for { <https://semopenalex.org/work/W2100979702> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2100979702 abstract "Nonparametric diffusion mixing estimator (DME) based blind signal separation (BSS) algorithm is proposed under the framework of natural gradient optimization method. In order to improve the performance of signal separation by BSS, the probability distributions of source signals must be described as accurately as possible. In this paper, we use the new data-driven bandwidth selection method based MDE to estimate the probability distributions of sources, which can improve the performance of fixed-width kernel density estimator (FKDE). The MDE is inspired via a Langevin diffusion process. As a result, the proposed algorithm has a wider application and do not need to assume the parametric nonlinear functions as them. The effectiveness of the proposed algorithm has been confirmed by simulation experiments." @default.
- W2100979702 created "2016-06-24" @default.
- W2100979702 creator A5081675173 @default.
- W2100979702 creator A5091040124 @default.
- W2100979702 date "2010-07-01" @default.
- W2100979702 modified "2023-10-03" @default.
- W2100979702 title "BSS algorithm by diffusing nonparameteric density estimator" @default.
- W2100979702 cites W1514159701 @default.
- W2100979702 cites W1548802052 @default.
- W2100979702 cites W1574672280 @default.
- W2100979702 cites W1581393989 @default.
- W2100979702 cites W2019502123 @default.
- W2100979702 cites W2088933359 @default.
- W2100979702 cites W2099741732 @default.
- W2100979702 cites W2105909330 @default.
- W2100979702 cites W2108384452 @default.
- W2100979702 cites W2111548551 @default.
- W2100979702 cites W2124101779 @default.
- W2100979702 cites W2147614211 @default.
- W2100979702 doi "https://doi.org/10.1109/iccsit.2010.5564112" @default.
- W2100979702 hasPublicationYear "2010" @default.
- W2100979702 type Work @default.
- W2100979702 sameAs 2100979702 @default.
- W2100979702 citedByCount "0" @default.
- W2100979702 crossrefType "proceedings-article" @default.
- W2100979702 hasAuthorship W2100979702A5081675173 @default.
- W2100979702 hasAuthorship W2100979702A5091040124 @default.
- W2100979702 hasConcept C105795698 @default.
- W2100979702 hasConcept C11413529 @default.
- W2100979702 hasConcept C114614502 @default.
- W2100979702 hasConcept C120317606 @default.
- W2100979702 hasConcept C126255220 @default.
- W2100979702 hasConcept C127162648 @default.
- W2100979702 hasConcept C149441793 @default.
- W2100979702 hasConcept C185429906 @default.
- W2100979702 hasConcept C197055811 @default.
- W2100979702 hasConcept C2776257435 @default.
- W2100979702 hasConcept C33923547 @default.
- W2100979702 hasConcept C41008148 @default.
- W2100979702 hasConcept C71134354 @default.
- W2100979702 hasConcept C74193536 @default.
- W2100979702 hasConcept C76155785 @default.
- W2100979702 hasConceptScore W2100979702C105795698 @default.
- W2100979702 hasConceptScore W2100979702C11413529 @default.
- W2100979702 hasConceptScore W2100979702C114614502 @default.
- W2100979702 hasConceptScore W2100979702C120317606 @default.
- W2100979702 hasConceptScore W2100979702C126255220 @default.
- W2100979702 hasConceptScore W2100979702C127162648 @default.
- W2100979702 hasConceptScore W2100979702C149441793 @default.
- W2100979702 hasConceptScore W2100979702C185429906 @default.
- W2100979702 hasConceptScore W2100979702C197055811 @default.
- W2100979702 hasConceptScore W2100979702C2776257435 @default.
- W2100979702 hasConceptScore W2100979702C33923547 @default.
- W2100979702 hasConceptScore W2100979702C41008148 @default.
- W2100979702 hasConceptScore W2100979702C71134354 @default.
- W2100979702 hasConceptScore W2100979702C74193536 @default.
- W2100979702 hasConceptScore W2100979702C76155785 @default.
- W2100979702 hasLocation W21009797021 @default.
- W2100979702 hasOpenAccess W2100979702 @default.
- W2100979702 hasPrimaryLocation W21009797021 @default.
- W2100979702 hasRelatedWork W1551834956 @default.
- W2100979702 hasRelatedWork W1590866097 @default.
- W2100979702 hasRelatedWork W1923556201 @default.
- W2100979702 hasRelatedWork W1976685843 @default.
- W2100979702 hasRelatedWork W1994170429 @default.
- W2100979702 hasRelatedWork W2003578311 @default.
- W2100979702 hasRelatedWork W2010898198 @default.
- W2100979702 hasRelatedWork W2022942247 @default.
- W2100979702 hasRelatedWork W2072399384 @default.
- W2100979702 hasRelatedWork W2076745629 @default.
- W2100979702 hasRelatedWork W2106395400 @default.
- W2100979702 hasRelatedWork W2117375470 @default.
- W2100979702 hasRelatedWork W2141794280 @default.
- W2100979702 hasRelatedWork W2142891162 @default.
- W2100979702 hasRelatedWork W2165560567 @default.
- W2100979702 hasRelatedWork W2355240374 @default.
- W2100979702 hasRelatedWork W2534433238 @default.
- W2100979702 hasRelatedWork W2920784469 @default.
- W2100979702 hasRelatedWork W2109411110 @default.
- W2100979702 hasRelatedWork W2183235085 @default.
- W2100979702 isParatext "false" @default.
- W2100979702 isRetracted "false" @default.
- W2100979702 magId "2100979702" @default.
- W2100979702 workType "article" @default.