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Wavelet Theory and Application Summarizing

  • Hong-yu Feng
  • Jian-ping Wang
  • Yan-cui Li
  • Jun Chen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7030)

Abstract

The wavelet analysis is the development based on Fourier transform. And it is a breakthrough of the Fourier analysis. The paper reviews the development history of wavelet analysis. Then it discusses the similarities and differences of Fourier transform and wavelet theory. As a new transform domain signal processing methods, wavelet transform is particularly good at dealing with non-stationary signal analysis. As wavelets are a mathematical tool, they can be used to extract information from many different kinds of data, including - but certainly not limited to - audio signals and images. In the end the paper summarizes and discusses applications of wavelet in various domains in detail.

Keywords

Wavelet Analysis Fourier Time Domain Frequency Domain 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Hong-yu Feng
    • 1
  • Jian-ping Wang
    • 1
  • Yan-cui Li
    • 1
  • Jun Chen
    • 1
  1. 1.Infomation Engineering CollegeHenan Institute of Science and TechnologyXinxiang CityChina

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