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Continuous wavelets of compact support can be built (), which are related to the beta distribution. The process is derived from probability distributions using blur derivative. These new wavelets have just one cycle, so they are termed unicycle wavelets. They can be viewed as a ''soft variety'' of Haar wavelets whose shape is fine-tuned by two parameters and . Closed-form expressions for beta wavelets and scale functions as well as their spectra are derived. Their importance is due to the Central Limit Theorem by Gnedenko and Kolmogorov applied for compactly supported signals (). == Beta distribution == The beta distribution is a continuous probability distribution defined over the interval . It is characterised by a couple of parameters, namely and according to: . The normalising factor is , where is the generalised factorial function of Euler and is the Beta function (). 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Beta wavelet」の詳細全文を読む スポンサード リンク
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