Journal of Applied Mathematics (Jan 2013)

Minimum-Energy Bivariate Wavelet Frame with Arbitrary Dilation Matrix

  • Fengjuan Zhu,
  • Qiufu Li,
  • Yongdong Huang

DOI
https://doi.org/10.1155/2013/896050
Journal volume & issue
Vol. 2013

Abstract

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In order to characterize the bivariate signals, minimum-energy bivariate wavelet frames with arbitrary dilation matrix are studied, which are based on superiority of the minimum-energy frame and the significant properties of bivariate wavelet. Firstly, the concept of minimum-energy bivariate wavelet frame is defined, and its equivalent characterizations and a necessary condition are presented. Secondly, based on polyphase form of symbol functions of scaling function and wavelet function, two sufficient conditions and an explicit constructed method are given. Finally, the decomposition algorithm, reconstruction algorithm, and numerical examples are designed.