
Proceedings Paper
Orthonormal wavelet representation using Butterworth filtersFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
Butterworth wavelets are introduced and it is shown that they constitute a large class of orthonormal wavelets. Advantages of this approach are the simplicity of the analyzing wavelet design, connections with the digital filter design techniques, FIR and IIR type of implementations and computational savings in the IIR case which gives rise to fast wavelet transform algorithms. A mirror representation and nonorthogonal wavelet expansion are discussed in this context.
Paper Details
Date Published: 20 August 1992
PDF: 7 pages
Proc. SPIE 1706, Adaptive and Learning Systems, (20 August 1992); doi: 10.1117/12.139937
Published in SPIE Proceedings Vol. 1706:
Adaptive and Learning Systems
Firooz A. Sadjadi, Editor(s)
PDF: 7 pages
Proc. SPIE 1706, Adaptive and Learning Systems, (20 August 1992); doi: 10.1117/12.139937
Show Author Affiliations
Temel Engin Tuncer, Boston Univ. (United States)
Guido V.H. Sandri, Boston Univ. (United States)
Published in SPIE Proceedings Vol. 1706:
Adaptive and Learning Systems
Firooz A. Sadjadi, Editor(s)
© SPIE. Terms of Use
