The Illustrated Wavelet Transform Handbook

By R. D. Wallen. 2004

578 citations recorded by the source corpus.

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Citations in the corpus

An Intuitive Guide to Wavelets for Economists (2005, background): “Other perhaps less intuitive but nonetheless technically sound introductions to wavelets can be found in Walker (1999), Percival and Walden (2000) and Addison (2002). There are three other entry points to this literature that are specically aimed at economists - the excellent book by Gençay, Selçuk”
Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis (2012, methodology): “Each wavelet has its specific characteristics and is used for different purposes – see Percival and Walden (2000); Adisson (2002). In our analysis we use the Morlet wavelet, defined as: ψ(t) = 1 π1/4 eiω0te−t 2/2.”
Wavelet theory and applications : a literature study (2005, methodology): “Wavelet analysis can be used for the modeling and control of the dynamical behavior of systems and the partitioning and decoupling of system responses [1].”
Forecasting of Multi-Step Ahead Reference Evapotranspiration Using Wavelet- Gaussian Process Regression Model (2018, background): “For more details on the Wavelet transform readers are referred to text books including Daubechies (1992) and Wallen (2004).”
International comovement of stock market returns: a wavelet analysis (2009, methodology): “…for an appropriate ω0, the Morlet wavelet is simply defined as (6) with the corresponding Fourier transform given by (7) One can see that the Morlet wavelet is a complex sine wave within a Gaussian envelope whereas ω0 is the wavenumber (see, for example, Adisson (2002) for further details).”