원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
vol.4 no.1
2011.03
pp.1-8
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, we introduce a method for the application of Bézier curve algorithms to lookup-table-based interpolations, particularly for the use of timing, power, and noise analysis in integrated circuit design. Bézier curves can replace conventional piecewise linear functions for accuracy enhancement. Selecting control points with physical implications and forcing curves to pass through sampled points are critical for achieving the envisioned improvements. This method can be easily applied to the interpolation of splines.
목차
Abstract
1. Introduction
2. Nonlinear Fitting Curves
2.1. B-Splines
2.2. Bézier Curves
3. Improving Accuracy on 2D Lookup tables
3.1. Determining Control Points
3.2. Approximating Derivatives at Sampled Points
3.3. Evaluating Points on the Curve
4. Improving Accuracy In 3D Lookup Tables
4.1 Rectangular Patches with Tensor Product
4.2 Triangular Patches
5. Results From Experiments
References
1. Introduction
2. Nonlinear Fitting Curves
2.1. B-Splines
2.2. Bézier Curves
3. Improving Accuracy on 2D Lookup tables
3.1. Determining Control Points
3.2. Approximating Derivatives at Sampled Points
3.3. Evaluating Points on the Curve
4. Improving Accuracy In 3D Lookup Tables
4.1 Rectangular Patches with Tensor Product
4.2 Triangular Patches
5. Results From Experiments
References
저자정보
참고문헌
자료제공 : 네이버학술정보