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[Wavelet transform and its application in spectral analysis].

X Qin1, L Shen

  • 1Signal and Information Processing Lab, Beijing Polytechnic University, 100022 Beijing.

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|August 27, 2003
PubMed
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Wavelet transform (WT) is a powerful mathematical tool increasingly used in science. This review explores WT theory and its spectral analysis applications in analytical chemistry for signal processing.

Area of Science:

  • Analytical Chemistry
  • Signal Processing
  • Mathematical Techniques

Context:

  • Wavelet transform (WT) is gaining prominence across scientific disciplines.
  • WT is primarily employed in analytical chemistry for signal smoothing, de-noising, and data compression.
  • Spectral analysis is a key area benefiting from WT applications.

Purpose:

  • To introduce the fundamental theory of wavelet transform (WT).
  • To review the diverse applications of WT in spectral analysis.
  • To highlight WT's utility in analytical chemistry.

Summary:

  • This paper details the principles of wavelet transform (WT).
  • It examines the practical uses of WT for enhancing spectral data.
  • Applications include signal de-noising and compression in analytical chemistry.

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Impact:

  • Provides a foundational understanding of WT for researchers.
  • Demonstrates the effectiveness of WT in improving spectral analysis quality.
  • Facilitates the adoption of advanced mathematical techniques in chemical analysis.