2008
DOI: 10.1007/978-0-387-75961-6
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Wavelet Methods in Statistics with R

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Cited by 233 publications
(6 citation statements)
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“…In that sense, Nason (2008) appoints that the Haar wavelet is a good choice because it exhibits many characteristic features of wavelets. Two relevant characteristics are the oscillation (the Haar wavelet goes up and down), mathematically this can be expressed by the condition that ∫ ( ) , a property shared by all wavelets; and the compact support (not all wavelets have compact support, but they must decay to zero rapidly).…”
Section: Methodsmentioning
confidence: 99%
“…In that sense, Nason (2008) appoints that the Haar wavelet is a good choice because it exhibits many characteristic features of wavelets. Two relevant characteristics are the oscillation (the Haar wavelet goes up and down), mathematically this can be expressed by the condition that ∫ ( ) , a property shared by all wavelets; and the compact support (not all wavelets have compact support, but they must decay to zero rapidly).…”
Section: Methodsmentioning
confidence: 99%
“…Each of these sequences is length n/2. Consequently, in whole, the amount of wavelet coefficients in both decimals on the better scale is 2 × n/2 = n [11].…”
Section: Wavelet Analysismentioning
confidence: 99%
“…Shannon's entropy and fractal analysis have recently been used in urban analysis, especially in studies that integrate remote sensing and GIS (Dewan, Corner 2014). Shannon's entropy is suggested as a measure of spread (Nason 2008). It is one of the most commonly used and one of the most reliable assEssMEnT of urBan spraWl usInG sHannon's EnTropY and fracTal analYsIs: a casE sTudY of aTaKuM, IlKadIM and canIK (saMsun, TurKEY)…”
Section: Introductionmentioning
confidence: 99%