Title :
Fractional fourier transform and its application to engine knock detection
Author_Institution :
Inst. of Electron., Silesian Univ. of Technol., Gliwice, Poland
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.
Keywords :
Fourier transforms; automotive engineering; internal combustion engines; FRFT; automotive application; engine knock detection; fractional Fourier transform; knock intensity estimation; ordinary Fourier transform operator; spark ignition engine; Combustion; Engines; Fourier transforms; Frequency modulation; Resonant frequency; Signal to noise ratio; Time-frequency analysis; automotive electronics; fractional Fourier transform; knock detection; signal processing; time-frequency analysis;
Conference_Titel :
Mixed Design of Integrated Circuits & Systems (MIXDES), 2015 22nd International Conference
Conference_Location :
Torun
Print_ISBN :
978-8-3635-7806-0
DOI :
10.1109/MIXDES.2015.7208593