Wavelets pp 189-203 | Cite as

Designing Your Own Wavelet

  • Robert X. Gao
  • Ruqiang Yan


To achieve effective signal signature extraction, Chap. 10 introduced several quantitative measures for selecting appropriate base wavelets from a pool of available wavelet families, such as Daubechies, Myer, and Morlet wavelets. This chapter introduces a complimentary technique focusing on wavelet customization. The goal is to design a wavelet that is specifically adapted to the signal of interest. Because such a customized wavelet would have a higher degree of matching with the signal than other wavelets, the effectiveness of signature extraction will improve.


Impulse Response Wavelet Coefficient Scaling Function Base Wavelet Filter Coefficient 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringUniversity of ConnecticutStorrsUSA
  2. 2.School of Instrument Science and EngineeringSoutheast UniversityNanjingChina, People’s Republic

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