Multi-dimensional Wavelet Frames

dc.contributor.authorKugarajah, Tharmarajahen_US
dc.contributor.authorZhang, Q.en_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T09:58:47Z
dc.date.available2007-05-23T09:58:47Z
dc.date.issued1995en_US
dc.description.abstractPeti & Krishnaprasad [1] first studied the connection between neural networks and wavelet transforms. Zhang & Benveniste [2] gave a different treatment of this connection. However, the problem of constructing multi-dimensional wavelet frames for use in neural networks has not been satisfactorily studied. In this report, one-dimensional wavelet frame is generalized to the multi-dimensional case by using single-scaling and multi-scaling parameters. The construction of multi-dimensional wavelet frames is also discussed. These results provide more insight on the use of wavelets in neural networks.en_US
dc.format.extent445815 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/5619
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1995-31en_US
dc.subjectmulti-dimensional waveleten_US
dc.subjectframeen_US
dc.subjectneural networken_US
dc.subjectIntelligent Control Systemsen_US
dc.titleMulti-dimensional Wavelet Framesen_US
dc.typeTechnical Reporten_US

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