Fast Computing of Non-Uniform Sampling Positions for Real Signals

被引：0

作者：

Kovacs, Peter ^{[1
]}

Vad, Viktor ^{[2
]}

机构：

[1] Eotvos Lorand Univ, Dept Numer Anal, Budapest, Hungary

[2] Tampere Univ Technol, Dept Signal Proc, FIN-33101 Tampere, Finland

来源：

2013 15TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING (SYNASC 2013) | 2014年

关键词：

Rational function systems; nonlinear equations; fixed-point iterations; CUDA-based parallel algorithms;

D O I：

10.1109/SYNASC.2013.27

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

There is a wide range of applications of non-equidistant discretization of real signals. For instance, in computer graphics, Fourier analysis, identification and control theories, etc. They have the common ability to describe dynamical systems as well. In this paper we provide a fast algorithm based on an existing mathematical model to compute a non-uniform grid for representing different types of signals. In order to do that we need new concepts for constructing an effective numerical solution. Additionally, two experiments are performed to investigate the accuracy of the method. Finally, we also present a parallel implementation in CUDA which can further improve the execution time.

引用

页码：146 / 150

页数：5

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