Wavelet Features and Examples
R. Todd Ogden · Birkhäuser Boston eBooks · 1997
Chapter 1 presented the bare necessities for understanding the basic principles of wavelet analysis, presenting the concepts through the simplest example, the Haar system. With a good understanding of these principles, it is possible to skip forward to later chapters dealing with statistical analysis, but before treating more advanced statistical applications of wavelet analysis, a more thorough and general treatment of wavelets is useful. This chapter will give more insight into some of the advantages inherent in wavelet analysis, describing basic algorithms, and time-frequency localization concepts. It finishes up with a more complete development of the wavelet examples mentioned in Section 1.3.