Matches in SemOpenAlex for { <https://semopenalex.org/work/W2096760722> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2096760722 abstract "Artificial neural nets have become very popular in various applications like pattern recognition, system identification and adaptive control. In general, a neural net is a nonlinear mapping device for function approximation in such a way that the arising error has to be minimized. This leads to an optimization problem where the cost function can be learned instead of being represented by a theoretical model. For that reason we have to discover the essential characteristics of the function to find its representation with minimal redundancy. Considering data compression there are similar requirements which have to be met. In this perspective, feature extraction as a basic capability of neural nets has to be performed for optimizing data compression. We consider wavelet transform coding because of its good fitting properties in both the time and frequency domains. Therefore, the choice of the wavelet is significant for a good fit of the signal and leads to an optimization problem which can be solved by a neural net." @default.
- W2096760722 created "2016-06-24" @default.
- W2096760722 creator A5012949029 @default.
- W2096760722 creator A5041219696 @default.
- W2096760722 creator A5060205332 @default.
- W2096760722 creator A5086075071 @default.
- W2096760722 date "2002-11-23" @default.
- W2096760722 modified "2023-10-06" @default.
- W2096760722 title "Optimizing wavelet transform coding using a neural network" @default.
- W2096760722 cites W1498436455 @default.
- W2096760722 cites W2062024414 @default.
- W2096760722 cites W2103504566 @default.
- W2096760722 cites W2132984323 @default.
- W2096760722 cites W612593197 @default.
- W2096760722 doi "https://doi.org/10.1109/icics.1997.652207" @default.
- W2096760722 hasPublicationYear "2002" @default.
- W2096760722 type Work @default.
- W2096760722 sameAs 2096760722 @default.
- W2096760722 citedByCount "1" @default.
- W2096760722 crossrefType "proceedings-article" @default.
- W2096760722 hasAuthorship W2096760722A5012949029 @default.
- W2096760722 hasAuthorship W2096760722A5041219696 @default.
- W2096760722 hasAuthorship W2096760722A5060205332 @default.
- W2096760722 hasAuthorship W2096760722A5086075071 @default.
- W2096760722 hasConcept C105795698 @default.
- W2096760722 hasConcept C111919701 @default.
- W2096760722 hasConcept C11413529 @default.
- W2096760722 hasConcept C152124472 @default.
- W2096760722 hasConcept C153180895 @default.
- W2096760722 hasConcept C154945302 @default.
- W2096760722 hasConcept C179518139 @default.
- W2096760722 hasConcept C196216189 @default.
- W2096760722 hasConcept C33923547 @default.
- W2096760722 hasConcept C41008148 @default.
- W2096760722 hasConcept C47432892 @default.
- W2096760722 hasConcept C50644808 @default.
- W2096760722 hasConcept C78548338 @default.
- W2096760722 hasConceptScore W2096760722C105795698 @default.
- W2096760722 hasConceptScore W2096760722C111919701 @default.
- W2096760722 hasConceptScore W2096760722C11413529 @default.
- W2096760722 hasConceptScore W2096760722C152124472 @default.
- W2096760722 hasConceptScore W2096760722C153180895 @default.
- W2096760722 hasConceptScore W2096760722C154945302 @default.
- W2096760722 hasConceptScore W2096760722C179518139 @default.
- W2096760722 hasConceptScore W2096760722C196216189 @default.
- W2096760722 hasConceptScore W2096760722C33923547 @default.
- W2096760722 hasConceptScore W2096760722C41008148 @default.
- W2096760722 hasConceptScore W2096760722C47432892 @default.
- W2096760722 hasConceptScore W2096760722C50644808 @default.
- W2096760722 hasConceptScore W2096760722C78548338 @default.
- W2096760722 hasLocation W20967607221 @default.
- W2096760722 hasOpenAccess W2096760722 @default.
- W2096760722 hasPrimaryLocation W20967607221 @default.
- W2096760722 hasRelatedWork W1964168965 @default.
- W2096760722 hasRelatedWork W1985271031 @default.
- W2096760722 hasRelatedWork W198852174 @default.
- W2096760722 hasRelatedWork W1994369194 @default.
- W2096760722 hasRelatedWork W2000507022 @default.
- W2096760722 hasRelatedWork W2077700304 @default.
- W2096760722 hasRelatedWork W2086695841 @default.
- W2096760722 hasRelatedWork W2093503827 @default.
- W2096760722 hasRelatedWork W2101976176 @default.
- W2096760722 hasRelatedWork W2106224199 @default.
- W2096760722 hasRelatedWork W2154439236 @default.
- W2096760722 hasRelatedWork W2154909848 @default.
- W2096760722 hasRelatedWork W2157225572 @default.
- W2096760722 hasRelatedWork W2165806836 @default.
- W2096760722 hasRelatedWork W2170049677 @default.
- W2096760722 hasRelatedWork W2352109119 @default.
- W2096760722 hasRelatedWork W2378025389 @default.
- W2096760722 hasRelatedWork W3049926844 @default.
- W2096760722 hasRelatedWork W70978815 @default.
- W2096760722 hasRelatedWork W2086164485 @default.
- W2096760722 isParatext "false" @default.
- W2096760722 isRetracted "false" @default.
- W2096760722 magId "2096760722" @default.
- W2096760722 workType "article" @default.