An Intriguing Property of Scaling Function in Wavelet Theory and its Verification Using Daubechies-Lagarias Algorithm

T. Arathi, K. Soman
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Abstract

The advent of wavelet in itself is a revolution in the field of signal processing. The simultaneous localization of signal in both its time and frequency domain was what attracted the engineers the most. However, most of them still fail to appreciate the contribution of Ingrid Daubechies, whose scaling and wavelet functions have several surprising features. Here, we try to throw light into the astonishing features of the Daubechies scaling and wavelet functions. Understanding of these features appears to be very important for mathematicians for exploring and exploiting new function spaces. The main purpose of this article is to convince ourselves (readers) the exotic properties of scaling and wavelet functions through computational experiments.
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小波理论中尺度函数的一个有趣性质及其Daubechies-Lagarias算法的验证
小波的出现本身就是信号处理领域的一次革命。信号在时域和频域的同时定位是最吸引工程师的。然而,他们中的大多数人仍然没有认识到Ingrid Daubechies的贡献,其缩放和小波函数具有几个令人惊讶的特征。在这里,我们试图阐明Daubechies缩放和小波函数的惊人特征。理解这些特征对于数学家探索和开发新的函数空间是非常重要的。本文的主要目的是通过计算实验说服我们自己(读者)缩放和小波函数的奇异性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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