DocumentCode
1744849
Title
Multi-wavelets from spline super-functions with approximation order
Author
Özkaramanli, Huseyin ; Bhatti, A. ; Bilgehan, Bülent
Author_Institution
Dept. of Electr. & Electron. Eng., Eastern Mediterranean Univ., Mersin, Turkey
Volume
2
fYear
2001
fDate
6-9 May 2001
Firstpage
525
Abstract
Approximation order is an important feature for all wavelets. It implies that polynomials up to degree p-1 are in the space spanned by the scaling function(s). For multi-wavelets the condition for approximation order is similar to the conditions in the scalar case. Generalized left eigenvectors of the matrix Hf, a finite portion of H, determine the combinations of scaling functions that produce the desired spline or scaling function. In this work, the condition of approximation order is derived for the special case where the multi scaling functions combine to form a super function that can produce any desired polynomial. New multi-wavelets with approximation orders one and two are constructed
Keywords
eigenvalues and eigenfunctions; matrix algebra; signal processing; splines (mathematics); wavelet transforms; approximation order; generalized left eigenvectors; matrix; multi scaling functions; multi-wavelets; polynomials; scaling function; spline super-functions; Convolution; Equations; Filters; Focusing; Image coding; Mathematics; Noise reduction; Polynomials; Signal processing; Spline;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location
Sydney, NSW
Print_ISBN
0-7803-6685-9
Type
conf
DOI
10.1109/ISCAS.2001.921123
Filename
921123
Link To Document