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)


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.


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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