Matches in SemOpenAlex for { <https://semopenalex.org/work/W2153517294> ?p ?o ?g. }
- W2153517294 endingPage "304" @default.
- W2153517294 startingPage "291" @default.
- W2153517294 abstract "In this paper, we introduce a novel approach for improved nonlinear system identification in the short-time Fourier transform (STFT) domain. We first derive explicit representations of discrete-time Volterra filters in the STFT domain. Based on these representations, approximate nonlinear STFT models, which consist of parallel combinations of linear and nonlinear components, are developed. The linear components are represented by cross-band filters between subbands, while the nonlinear components are modeled by multiplicative cross-terms. We consider the identification of quadratically nonlinear systems and show that a significant reduction in computational cost as well as substantial improvement in estimation accuracy can be achieved over a time-domain Volterra model, particularly when long-memory systems are considered. Experimental results validate the theoretical derivations and demonstrate the effectiveness of the proposed approach." @default.
- W2153517294 created "2016-06-24" @default.
- W2153517294 creator A5005544027 @default.
- W2153517294 creator A5080194185 @default.
- W2153517294 date "2010-01-01" @default.
- W2153517294 modified "2023-09-26" @default.
- W2153517294 title "Modeling and Identification of Nonlinear Systems in the Short-Time Fourier Transform Domain" @default.
- W2153517294 cites W1814500939 @default.
- W2153517294 cites W1973119332 @default.
- W2153517294 cites W1987174492 @default.
- W2153517294 cites W1996808605 @default.
- W2153517294 cites W1998520805 @default.
- W2153517294 cites W2000779926 @default.
- W2153517294 cites W2001902263 @default.
- W2153517294 cites W2011869890 @default.
- W2153517294 cites W2014136985 @default.
- W2153517294 cites W2019787708 @default.
- W2153517294 cites W2028745055 @default.
- W2153517294 cites W2029430854 @default.
- W2153517294 cites W2033570251 @default.
- W2153517294 cites W2050551142 @default.
- W2153517294 cites W2054658115 @default.
- W2153517294 cites W2065888855 @default.
- W2153517294 cites W2066947968 @default.
- W2153517294 cites W2073733671 @default.
- W2153517294 cites W2083398191 @default.
- W2153517294 cites W2095711409 @default.
- W2153517294 cites W2098916701 @default.
- W2153517294 cites W2103445172 @default.
- W2153517294 cites W2105856716 @default.
- W2153517294 cites W2108839851 @default.
- W2153517294 cites W2108988392 @default.
- W2153517294 cites W2116862700 @default.
- W2153517294 cites W2118184682 @default.
- W2153517294 cites W2118710415 @default.
- W2153517294 cites W2118867423 @default.
- W2153517294 cites W2119043701 @default.
- W2153517294 cites W2127371776 @default.
- W2153517294 cites W2131968171 @default.
- W2153517294 cites W2131985863 @default.
- W2153517294 cites W2132050924 @default.
- W2153517294 cites W2133011550 @default.
- W2153517294 cites W2139967755 @default.
- W2153517294 cites W2141853751 @default.
- W2153517294 cites W2142563647 @default.
- W2153517294 cites W2142635246 @default.
- W2153517294 cites W2145741195 @default.
- W2153517294 cites W2150034881 @default.
- W2153517294 cites W2159425692 @default.
- W2153517294 cites W2160778374 @default.
- W2153517294 cites W2161608096 @default.
- W2153517294 cites W2165618124 @default.
- W2153517294 cites W2168175751 @default.
- W2153517294 cites W2171604352 @default.
- W2153517294 cites W2987333292 @default.
- W2153517294 cites W4241920565 @default.
- W2153517294 cites W4249762338 @default.
- W2153517294 doi "https://doi.org/10.1109/tsp.2009.2028978" @default.
- W2153517294 hasPublicationYear "2010" @default.
- W2153517294 type Work @default.
- W2153517294 sameAs 2153517294 @default.
- W2153517294 citedByCount "38" @default.
- W2153517294 countsByYear W21535172942012 @default.
- W2153517294 countsByYear W21535172942013 @default.
- W2153517294 countsByYear W21535172942014 @default.
- W2153517294 countsByYear W21535172942015 @default.
- W2153517294 countsByYear W21535172942016 @default.
- W2153517294 countsByYear W21535172942017 @default.
- W2153517294 countsByYear W21535172942018 @default.
- W2153517294 countsByYear W21535172942019 @default.
- W2153517294 countsByYear W21535172942020 @default.
- W2153517294 countsByYear W21535172942021 @default.
- W2153517294 countsByYear W21535172942022 @default.
- W2153517294 crossrefType "journal-article" @default.
- W2153517294 hasAuthorship W2153517294A5005544027 @default.
- W2153517294 hasAuthorship W2153517294A5080194185 @default.
- W2153517294 hasConcept C102519508 @default.
- W2153517294 hasConcept C103824480 @default.
- W2153517294 hasConcept C104267543 @default.
- W2153517294 hasConcept C11413529 @default.
- W2153517294 hasConcept C119247159 @default.
- W2153517294 hasConcept C121332964 @default.
- W2153517294 hasConcept C134206417 @default.
- W2153517294 hasConcept C134306372 @default.
- W2153517294 hasConcept C154945302 @default.
- W2153517294 hasConcept C158622935 @default.
- W2153517294 hasConcept C166386157 @default.
- W2153517294 hasConcept C19118579 @default.
- W2153517294 hasConcept C203024314 @default.
- W2153517294 hasConcept C22157029 @default.
- W2153517294 hasConcept C2775924081 @default.
- W2153517294 hasConcept C2778532037 @default.
- W2153517294 hasConcept C31972630 @default.
- W2153517294 hasConcept C33923547 @default.
- W2153517294 hasConcept C41008148 @default.
- W2153517294 hasConcept C42747912 @default.
- W2153517294 hasConcept C47446073 @default.
- W2153517294 hasConcept C62520636 @default.