Multivariate Wavelet Frames

  • Maria Skopina
  • Aleksandr Krivoshein
  • Vladimir Protasov

Part of the Industrial and Applied Mathematics book series (INAMA)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Aleksandr Krivoshein, Vladimir Protasov, Maria Skopina
    Pages 1-14
  3. Aleksandr Krivoshein, Vladimir Protasov, Maria Skopina
    Pages 15-73
  4. Aleksandr Krivoshein, Vladimir Protasov, Maria Skopina
    Pages 75-130
  5. Aleksandr Krivoshein, Vladimir Protasov, Maria Skopina
    Pages 131-160
  6. Aleksandr Krivoshein, Vladimir Protasov, Maria Skopina
    Pages 161-207
  7. Aleksandr Krivoshein, Vladimir Protasov, Maria Skopina
    Pages 209-237
  8. Back Matter
    Pages 239-248

About this book

Introduction

This book presents a systematic study of multivariate wavelet frames with matrix dilation, in particular, orthogonal and bi-orthogonal bases, which are a special case of frames. Further, it provides algorithmic methods for the construction of dual and tight wavelet frames with a desirable approximation order, namely compactly supported wavelet frames, which are commonly required by engineers. It particularly focuses on methods of constructing them. Wavelet bases and frames are actively used in numerous applications such as audio and graphic signal processing, compression and transmission of information. They are especially useful in image recovery from incomplete observed data due to the redundancy of frame systems. The construction of multivariate wavelet frames, especially bases, with desirable properties remains a challenging problem as although a general scheme of construction is well known, its practical implementation in the multidimensional setting is difficult.

Another important feature of wavelet is symmetry. Different kinds of wavelet symmetry are required in various applications, since they preserve linear phase properties and also allow symmetric boundary conditions in wavelet algorithms, which normally deliver better performance. The authors discuss how to provide H-symmetry, where H is an arbitrary symmetry group, for wavelet bases and frames. The book also studies so-called frame-like wavelet systems, which preserve many important properties of frames and can often be used in their place, as well as their approximation properties. The matrix method of computing the regularity of refinable function from the univariate case is extended to multivariate refinement equations with arbitrary dilation matrices. This makes it possible to find the exact values of the Hölder exponent of refinable functions and to make a very refine analysis of their moduli of continuity.


Keywords

Frames Wavelet Frames Wavelet Bases Matrix Dilation Orthogonal and Bi-orthogonal Bases Graphic Signal Processing

Authors and affiliations

  • Maria Skopina
    • 1
  • Aleksandr Krivoshein
    • 2
  • Vladimir Protasov
    • 3
  1. 1.Universitetskii prospektSaint PetersburgRussia
  2. 2.Department of Higher MathematicsUniversitetskii prospekt Department of Higher MathematicsSaint PetersburgRussia
  3. 3.MoscowRussia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-3205-9
  • Copyright Information Springer Nature Singapore Pte Ltd. 2016
  • Publisher Name Springer, Singapore
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-981-10-3204-2
  • Online ISBN 978-981-10-3205-9
  • Series Print ISSN 2364-6837
  • Series Online ISSN 2364-6845
  • About this book