JOURNAL ARTICLE

<title>Riesz wavelets and multiresolution structures</title>

David R. LarsonWai-Shing TangEric Weber

Year: 2001 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 4478 Pages: 254-262   Publisher: SPIE

Abstract

Multiresolution structures are important in applications, but they are also useful for analyzing properties of associated wavelets. Given a nonorthogonal (multi-) wavelet in a Hilbert space, we construct a core subspace. Subsequently, the dilates of the core subspace defines a ladder of nested subspaces. Of fundamental importance are two questions: 1) when is the core subspace shift invariant; and if yes, then 2) when is the core subspace generated by shifts of a single vector, i.e. there exists a scaling vector. If the wavelet generates a Riesz basis then the answer to question 1) is yes if and only if the wavelet is a biorthogonal wavelet. Additionally, if the wavelet generates a tight frame of arbitrary frame constant, then the core subspace is shift invariant. Question 1) is still open in case the wavelet generates a non-tight frame. We also present some known results to question 2) and provide some preliminary improvements. Our analysis here arises from investigating the dimension function and the multiplicity function of a wavelet. These two functions agree if the wavelet is orthogonal. Finally, we discuss how these questions are important for considering linear perturbation of wavelets. Utilizing the idea of the local commutant of a unitary system developed by Dai and Larson, we show that nearly all linear perturbations of two orthonormal wavelets form a Riesz wavelet. If in fact these wavelets correspond to a von Neumann algebra in the local commutant of a base wavelet, then the interpolated wavelet is biorthogonal. Moreover, we demonstrate that in this case the interpolated wavelets have a scaling vector if the base wavelet has a scaling vector.

Keywords:
Wavelet Linear subspace Mathematics Orthonormal basis Gabor wavelet Wavelet transform Wavelet packet decomposition Biorthogonal wavelet Pure mathematics Mathematical analysis Discrete wavelet transform Discrete mathematics Computer science Artificial intelligence Physics

Metrics

9
Cited By
1.72
FWCI (Field Weighted Citation Impact)
15
Refs
0.83
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Mathematical Analysis and Transform Methods
Physical Sciences →  Mathematics →  Applied Mathematics
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Seismic Imaging and Inversion Techniques
Physical Sciences →  Earth and Planetary Sciences →  Geophysics

Related Documents

JOURNAL ARTICLE

<title>Wavelets for multiresolution image matching</title>

Su ZhangHanfeng ChenYuncai LiuPengfei Shi

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 2001 Vol: 4552 Pages: 57-62
JOURNAL ARTICLE

<title>Embedding multiresolution spline structures</title>

Ada CammilleriEduardo P. Serrano

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 2001 Vol: 4478 Pages: 192-199
JOURNAL ARTICLE

<title>Multiresolution sequential image change detection with wavelets</title>

Yawgeng A. ChauJar-Chi Shee

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 1996 Vol: 2727 Pages: 497-506
JOURNAL ARTICLE

<title>Logical wavelets</title>

Prem NatarajanJoseph P. NoonanSos С. Agaian

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 1997 Vol: 3164 Pages: 78-89
JOURNAL ARTICLE

<title>Wavelets and multiresolution analysis on sphere-like surfaces</title>

Eberhard Schmitt

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 1995 Vol: 2569 Pages: 92-101
© 2026 ScienceGate Book Chapters — All rights reserved.