Fractional fourier transform and its application to engine knock detection

J. Fiolka
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引用次数: 9

Abstract

The fractional Fourier transform (FRFT) is a generalization of the well-known Fourier transform. The FRFT depends on an order parameter a and can be interpreted as an a-th power of the ordinary Fourier transform operator. This tool has found widespread applications in areas such as optics, wave propagation analysis, signal and image processing, solving of differential equations, mechanical vibrations analysis, quantum mechanics. The paper focuses on the use of FRFT in an automotive application to estimation of the knock intensity in a spark ignition engine. The obtained results demonstrate that the proposed method provides high accuracy with low computational complexity.
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分数阶傅里叶变换及其在发动机爆震检测中的应用
分数阶傅里叶变换(FRFT)是对傅里叶变换的推广。FRFT依赖于阶参数a,可以解释为普通傅里叶变换算子的a次幂。该工具在光学、波传播分析、信号和图像处理、微分方程求解、机械振动分析、量子力学等领域得到了广泛的应用。本文主要研究了在汽车火花点火发动机爆震强度估计中的应用。结果表明,该方法具有较高的精度和较低的计算复杂度。
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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