SUMMARY
Wavelets are defined as "small waves" that grow and decay within a limited time period, contrasting with continuous functions like sine waves. The Haar wavelet mother function is expressed mathematically as \{ t \mapsto \psi(2^n t-k) ; n \in \N, 0 \leq k < 2^n\}. Key properties of wavelets include that the integral of the wavelet function, ψ, is zero, indicating symmetry around the axis, and the square of ψ is unity, ensuring the wavelet's nonzero portion is limited in length. For further reading, "Wavelet Methods for Time Series Analysis" by Percival and Waldren provides in-depth insights into wavelet theory.
PREREQUISITES
- Understanding of wavelet functions and scaling functions
- Familiarity with mathematical properties of functions, including integrals
- Basic knowledge of time series analysis
- Exposure to the concept of mother and daughter wavelets
NEXT STEPS
- Study the Haar wavelet and its applications in signal processing
- Explore the mathematical properties of wavelets in detail
- Learn about different types of wavelets, including Daubechies and Morlet wavelets
- Read "The World According to Wavelets" by Barbra Hubbard for a non-technical overview
USEFUL FOR
Students, researchers, and professionals in mathematics, signal processing, and data analysis who seek a foundational understanding of wavelet theory and its applications.