Introduction to wavelet transform a signal processing approach

INTRODUCTION TO WAVELET TRANSFORM: A Signal Processing Approach, has been developed in a simple, logical and directed way. To understand this subject, the background required is physics and mathematics at a junior degree level and the basic knowledge of signals and systems. The ease of understanding...

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Bibliographic Details
Main Author: Narasimhan, S.V
Other Authors: Basumallick, Nandini, Veena, S.
Format: Book
Language:English
Published: Oxford, UK Alpha Science International 2012
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Table of Contents:
  • 1. Introduction
  • 2. Signal approximation
  • 3. Signal transmission and power spectral density
  • 4. Sampling theorem and development of DFT
  • 5. Multirate sampling fundamentals
  • 6. Perfect reconstruction filter bank
  • 7. Short time Fourier transform
  • 8. Wavelet transform
  • 9. Discrete wavelet transform
  • 10. Multiresolution formulation of wavelet systems
  • 11. Wavelet design
  • 12. Wavelet transform implementation
  • 13. M-channel filter bank
  • 14. Wavelet transform implementation by lifting
  • 15. Time-frequency distribution
  • 16. Wavelet transform applications.