| dc.contributor.author | Doğan, M. | |
| dc.contributor.author | Gerek, Ömer Nezih | |
| dc.date.accessioned | 2019-10-21T20:41:08Z | |
| dc.date.available | 2019-10-21T20:41:08Z | |
| dc.date.issued | 2008 | |
| dc.identifier.isbn | 9781424419999 | |
| dc.identifier.uri | https://dx.doi.org/10.1109/SIU.2008.4632610 | |
| dc.identifier.uri | https://hdl.handle.net/11421/20673 | |
| dc.description | 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU -- 20 April 2008 through 22 April 2008 -- Aydin -- 74111 | en_US |
| dc.description.abstract | It's known that the transform matrix generated by Block Wavelet Transform (BWT) is orthogonal. Eigenvector matrix of the autocorrelation matrix obtained in Karhunen-Loeve transform is also orthogonal. This matrix is used for computing the features of signals. It's thought that BWT can be used in the same manner. A BWT obtained by finite number of filter coefficients will be advantegous. In this paper, a method for the computation of BWT filter coefficients by Steepest Descent algorithm will be proposed | en_US |
| dc.language.iso | tur | en_US |
| dc.relation.isversionof | 10.1109/SIU.2008.4632610 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | Steepest descent algorithm for block wavelet transform filter coefficients that generate orthogonal transform matrix [Dik Dönüşüm matrisi üreten blok dalgacik süzgeç katsayilarinin en dik i·niş algoritmasi i·le bulunmasi] | en_US |
| dc.type | conferenceObject | en_US |
| dc.relation.journal | 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU | en_US |
| dc.contributor.department | Anadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US] |
| dc.contributor.institutionauthor | Gerek, Ömer Nezih | |
