Abstract
Wavelet analysis is very useful for analyzing physiological systems because, as opposed to most classical signal analysis approaches, it provides the means to detect and analyze nonstationarity in signals. The simplest wavelet is the Haar wavelet, first described in the early 1900s by Alfred Haar. A few other famous, more recent contributors to the field of wavelet analysis are Morlet, Mallat, and Daubechies. This chapter introduces the techniques of wavelet analysis using the simplest example, the Haar wavelet, and then extending it to the application of the Daubechies wavelet. The chapter explores the procedures used to obtain the wavelet transform. It also discusses some of the mathematical details.
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