Abstract
Wavelet analysis has been developed into a new branch for over twenty years. The notion of vector-valued binary wavelets with two-scale dilation factor associated with an orthogonal vector-valued scaling function is introduced. The existence of orthogonal vector-valued wavelets with multi-scale is discussed. A necessary and sufficient condition is presented by means of vector-valued multiresolution analysis and paraunitary vector filter bank theory. An algorithm for constructing a sort of orthogonal vector-valued wave-lets with compact support is proposed, and their properties are investigated.
Foundation item: The research is supported by National Natural Science Foundation of China (Grant No:10971160), and by Natural Science Foundation of Shaanxi Province (Grant No:2009J M1002).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Zhang, N., Wu, X.: Lossless of color masaic images. IEEE Trans. Image Delivery 15(6), 1379–1388 (2006)
Efromovich, S., et al.: Data-Diven and Optimal Denoising of a Signal and Recovery of its Derivation Using Multiwavelets. IEEE Trans. Signal Processing 52(3), 628–635 (2004)
Shen, Z.: Nontensor product wavelet packets in L2 (R3). SIAM Math. Anal. 26(4), 1061–1074 (1995)
Xia, X.G., Suter, B.W.: Vector-valued wavelets and vector filter banks. IEEE Trans. Signal Processing 44(3), 508–518 (1996)
Chen, Q., Cheng, Z.: A study on compactly supported orthogonal vector-valued wavelets andwavelet packets. Chaos, Solitons & Fractals 31(4), 1024–1034 (2007)
Yang, S., Cheng, Z., Wang, H.: Construction of biorthogonal multiwavelets. Math. Anal. Appl. 276(1), 1–12 (2002)
Charina, M., Chui, C.K., He, W.: Tight frames of compactly supported multivariate multi-wavelets. J. Comput. Appl. Math. 233, 2044–2061 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, Q., Bai, N., Shang, Y. (2011). A Constructive Algorithm for Designing Biorthogonal Bivariate Wavelets with Finite Support. In: Shen, G., Huang, X. (eds) Advanced Research on Computer Science and Information Engineering. CSIE 2011. Communications in Computer and Information Science, vol 152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21402-8_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-21402-8_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21401-1
Online ISBN: 978-3-642-21402-8
eBook Packages: Computer ScienceComputer Science (R0)