𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A new wavelet filtering for analysis of fractal engineering surfaces

✍ Scribed by P. Bakucz; R. Krüger-Sehm


Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
622 KB
Volume
266
Category
Article
ISSN
0043-1648

No coin nor oath required. For personal study only.

✦ Synopsis


Recently B-spline wavelets (ISO 16610-29) have been accepted in precision engineering as an official Technical Specification for analyzing engineering surfaces. However, in some applications where fractal signals are involved it is better that the wavelet behaves like a fractional differentiator. The purpose of this paper is to introduce a fractional spline wavelet-based framework for analyzing fractal engineering surfaces. We will use the orthonormal fractional spline wavelet filter and develop an algorithm for the implementation of the associated wavelet transform. We illustrate our method by considering PTB roughness standards.


📜 SIMILAR VOLUMES


evaluation of engineering surfaces using
✍ Feng Xiong; Xiang Qian Jiang; Yongsheng Gao; Zhu Li 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 124 KB

A new approach based on the combination of wavelet and fractal theories is proposed. The purpose is to provide a mechanism to evaluate the characteristics of engineering surfaces more accurately and comprehensively. The wavelet transformation models and the fractal representation of engineering surf

Metrological characteristics of wavelet
✍ K. Lingadurai; M.S. Shunmugam 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 817 KB

The functional behavior of manufactured surfaces is influenced by the errors such as roughness, waviness and form errors that are present on the surface. A filtering process is used to establish a three-dimensional reference surface consisting of waviness and form errors and the roughness component

A Mathematical Analysis Using Fractals f
✍ Anand Ramakrishnan; Ajit Sadana 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 170 KB

A mathematical approach using fractal concepts is presented for modeling the binding and dissociation interactions between analytes and nuclear estrogen receptors (ER) occurring on surface plasmon resonance biosensor chip surfaces. A kinetic knowledge of the binding interactions mediated by ER would