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Research progress of the fractional Fourier transform in signal processing
摘    要:While solving a heat conduction problem in 1807, a French scientist Jean Baptiste Jo-seph Fourier, suggested the usage of the Fourier theorem. Thereafter, the Fourier trans-form (FT) has been applied widely in many scientific disciplines, and has played i…

收稿时间:2005-05-23
修稿时间:2005-11-01

Research progress of the fractional Fourier transform in signal processing
TAO Ran,DENG Bing,WANG Yue. Research progress of the fractional Fourier transform in signal processing[J]. Science in China(Information Sciences), 2006, 49(1): 1-25. DOI: 10.1007/s11432-005-0240-y
Authors:TAO Ran  DENG Bing  WANG Yue
Affiliation:1. Department of Electronic Engineering, Beijing Institute of Technology, Beijing 100081, China
2. Department of Electronic Engineering, Beijing Institute of Technology, Beijing 100081, China;Department of Electronic Engineering, Naval Aeronautical Engineering Institute, Yantai 264001, China
Abstract:The fractional Fourier transform is a generalization of the classical Fourier transform, which is introduced from the mathematic aspect by Namias at first and has many applications in optics quickly. Whereas its potential appears to have remained largely unknown to the signal processing community until 1990s. The fractional Fourier transform can be viewed as the chirp-basis expansion directly from its definition, but es-sentially it can be interpreted as a rotation in the time-frequency plane, i.e. the unified time-frequency transform. With the order from 0 increasing to 1, the fractional Fourier transform can show the characteristics of the signal changing from the time domain to the frequency domain. In this research paper, the fractional Fourier transform has been com-prehensively and systematically treated from the signal processing point of view. Our aim is to provide a course from the definition to the applications of the fractional Fourier transform, especially as a reference and an introduction for researchers and interested readers.
Keywords:fractional Fourier transform   signal processing   time-frequency analysis.  
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