DocumentCode
3338000
Title
Alperts multi-wavelets from spline super-functions
Author
Özkaramanli, Hüseyin ; Bhatti, Asim ; Kabakli, Tarik
Author_Institution
Dept. of Electr. & Electron. Eng., Eastern Mediterranean Univ., Mersin, Turkey
Volume
6
fYear
2001
fDate
2001
Firstpage
3665
Abstract
For multi-wavelets generalized left eigenvectors of the matrix H f a finite portion of down-sampled convolution matrix H determine the combinations of scaling functions that produce the desired spline or scaling function from which polynomials of desired degree can be reproduced. This condition is used to construct Alpert´s multi-wavelets with multiplicity two, three and four and with approximation orders two, three and four respectively. Higher-multiplicity Alpert multi-wavelets can also be constructed using this new method
Keywords
convolution; eigenvalues and eigenfunctions; matrix algebra; signal resolution; signal sampling; splines (mathematics); wavelet transforms; Alpert multi-wavelets; approximation orders; down-sampled convolution matrix; generalized left eigenvectors; polynomials; scaling functions; spline super-functions; Convolution; Equations; Focusing; Hafnium; Image coding; Mathematics; Noise reduction; Polynomials; Signal processing; Spline;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location
Salt Lake City, UT
ISSN
1520-6149
Print_ISBN
0-7803-7041-4
Type
conf
DOI
10.1109/ICASSP.2001.940637
Filename
940637
Link To Document