Welcome!
To use the personalized features of this site, please log in or register.
If you have forgotten your username or password, we can help.
My Menu
Saved Items

Construction of high order balanced multiscaling functions via PTST

Yang Shouzhi Contact Information and Peng Lizhong 2

(1)  Department of Mathematics, Shantou University, Shantou, 515063, China
(2)  LMAM, School of Mathematical Sciences, Peking University, Beijing, 100871, China

Received: 1 September 2005  Accepted: 13 February 2006  

Abstract  The concept of paraunitary two-scale similarity transform (PTST) is introduced. We discuss the property of PTST, and prove that PTST preserves the orthogonal, approximation order and smoothness of the given orthogonal multiscaling functions. What is more, by applying PTST, we present an algorithm of constructing high order balanced multiscaling functions by balancing the already existing orthogonal nonbalanced multiscaling functions. The corresponding transform matrix is given explicitly. In addition, we also investigate the symmetry of the balanced multiscaling functions. Finally, construction examples are given.

Keywords  PTST - balanced order - approximation order - multiscaling functions


Contact Information Yang Shouzhi
Email: szyang@stu.edu.cn

References

1. Lebrun J, Vetterli M. Balanced multiwavelets theory and design. IEEE Trans Signal Process, 1998, 46: 1119–1125
AMS CrossRef
 
2. Lebrun J, Vetterli M. High order balanced multiwavelets. In: Proc IEEE Int Conf Acoustics, Speech and Signal Processing, 1998, 3: 1529–1532
 
3. Lebrun J, Vetterli M. High-order balanced multiwavelets: Theory, factorization, and design. IEEE Trans Signal Process, 2001, 49: 1918–1930
AMS CrossRef
 
4. Gao X P, Zhou S W. A study of orthogonal, balanced and symmetric multi-wavelets on the interval. Sci China Ser F-Inf Sci, 2005, 48(6): 761–781
AMS CrossRef
 
5. Selesnick I W. Balanced GHM-like multiscaling functions. IEEE Trans Signal Processing Lett, 1999, 6: 111–112
CrossRef
 
6. Lian J A, Chui C K. Balanced multiwavelets with short filters. IEEE Trans Signal Processing, 2004, 11: 75–78
CrossRef
 
7. Chui C K, Jiang Q T. Balanced multi-wavelets in R s , Math Comp, 2005, 74: 1323–1344
MATH AMS CrossRef
 
8. Lian J A. On the order of polynomial reproduction for multi-scaling functions. Appl Comp Harm Anal, 1996, 3: 358–365
MATH AMS CrossRef
 
9. Plonka G. Approximation order provided by refinable function vectors. Constr Approx, 1997, 13: 221–244
MATH AMS SpringerLink
 
10. Plonka G, Strela V. Construction of multiscaling functions with approximation and symmetry. SIAM J Math Anal Appl, 1998, 29: 481–510
MATH AMS CrossRef
 
11. Goh S S, Jiang Q T, Xia T. Construction of biorthogonal multiwavelets using the lifting scheme. Appl Comput Harmon Anal, 2000, 9: 336–352
MATH AMS CrossRef
 
12. Yang S Z, Peng L Z. Raising approximation order of refinable vector by increasing multiplicity. Sci China Ser A-Math, 2006, 49(1): 86–97
AMS SpringerLink
 
13. Strela V. Multiwavelets: Regularity, orthogonality and symmetry via two-scale similarity transform. Stud Appl Math, 1997, 98(4): 335–354
MATH AMS CrossRef
 
14. Vaidyanathan P P. Multirate Systems and Filter Banks. New York: Simon and Schuster, 1993
 
15. Geronimo J, Hardin D P, Massopust P. Fractal functions and wavelet expansions based on several scaling functions. J Approx Theory, 1998, 78: 373–401
AMS CrossRef
 
16. Chui C K, Lian J A. A study on orthonormal multiwavelets. J Appl Numer Math, 1996, 20: 273–298
MATH AMS CrossRef
 
17. Jia C Y, Gao X P. A general sampling theorem for multiwavelet subspaces. Sci China Ser F-Inf Sci, 2002, 45: 365–372
AMS CrossRef
 


Export this article
Export this article as RIS | Text
 
Remote Address: 38.107.191.112 • Server: mpweb08
HTTP User Agent: CCBot/1.0 (+http://www.commoncrawl.org/bot.html)