Buch, Englisch, 134 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 236 g
ISBN: 978-1-4613-5929-6
Verlag: Springer US
has therefore been written as an introductory book for scientists and engineers. The mathematical presentation has been kept simple, the concepts being presented in elaborate detail in a terminology that engineers will find familiar. Difficult ideas are illustrated with examples which will also aid in the development of an intuitive insight.
Chapter 1 reviews the basics of signal transformation and discusses the concepts of duals and frames. Chapter 2 introduces the wavelet transform, contrasts it with the short-time Fourier transform and clarifies the names of the different types of wavelet transforms. Chapter 3 links multiresolution analysis, orthonormal wavelets and the design of digital filters. Chapter 4 gives a of topics of current interest: wavelet packets and discrete time wavelet transforms, and concludes with applications in signal processing.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
- Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
- Naturwissenschaften Physik Mechanik Akustik, Schwingungsanalyse
- Mathematik | Informatik Mathematik Mathematische Analysis
Weitere Infos & Material
1. Introduction.- 1.1 Signal Transformation.- 1.2 Orthogonal Transform.- 1.3 Frames in Vector Space.- 1.4 Time-Frequency Analysis.- 1.5 Applications of Time-Frequency Analysis.- 2. Principles of the Wavelet Transform.- 2.1 Introduction.- 2.2 The Continuous Wavelet Transform.- 2.3 Discrete Parameter Wavelet Transform.- Appendix A - Resolution of the Identity.- 3. Multiresolution Analysis, Wavelets and Digital Filters.- 3.1 Introduction.- 3.2 The DPWT and MRA.- 3.3 Principles of MRA.- 3.4 Filters for Perfect Reconstruction.- 3.5 Paraunitary Filters and Orthonormal Wavelets.- 3.6 Filter Design for Orthonormal Wavelets.- 3.7 Biorthogonal Filters.- 3.8 Wavelet Construction from Two-Scale Equations.- 3.9 Two Dimensional Wavelets.- Appendix B - Theorem for Convergence of ?(?).- Appendix C - Solution of a Polynomial in cos(?).- 4. Current Topics.- 4.1 Wavelet Packets.- 4.2 Discrete Time Wavelet Transform.- 4.3 Signal Processing Applications>.- References.