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分数阶傅里叶变换及其在光通信中的应用
引用本文:唐明,杨爱英,忻向军. 分数阶傅里叶变换及其在光通信中的应用[J]. 科技导报(北京), 2016, 34(16): 139-143. DOI: 10.3981/j.issn.1000-7857.2016.16.017
作者姓名:唐明  杨爱英  忻向军
作者单位:1. 华中科技大学光学与电子信息学院;下一代互联网接入系统国家工程实验室, 武汉 430074;
2. 北京理工大学光电学院, 北京 100081;
3. 北京邮电大学电子工程学院, 北京 100876
基金项目:国家自然科学基金重点项目(61331010);国家高技术研究发展计划(863计划)项目(2013AA013402)
摘    要: 分数阶傅里叶变换是传统傅里叶变换的一种扩展形式,它能够在介于时域和频域之间的分数域内分析和处理信号。由于分数阶傅里叶变换的一些独特的性质,已经被广泛应用于解微分方程、量子力学、图像处理和信号处理当中。本文介绍分数阶傅里叶变换,综述其在滤波器、神经网络、图像处理和无线通信等领域的应用;结合本课题组近年来的工作成果,重点介绍了其在光通信领域中的典型应用;展望了分数阶傅里叶变换在光通信中的发展趋势。

关 键 词:分数阶傅里叶变换  光通信  色散  非线性  正交频分复用  
收稿时间:2016-06-30

Fractional Fourier transformation and its application on optical communication
TANG Ming,YANG Aiying,XIN Xiangjun. Fractional Fourier transformation and its application on optical communication[J]. Science & Technology Review, 2016, 34(16): 139-143. DOI: 10.3981/j.issn.1000-7857.2016.16.017
Authors:TANG Ming  YANG Aiying  XIN Xiangjun
Affiliation:1. National Engineering Laboratory for Next Generation Internet Access System;School of Optics and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China;
2. School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China;
3. School of Electrical Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Abstract:Fractional Fourier transformation (FrFT) is an extension form of the Fourier transformation (FT). It can analyze the fractional signal between time and frequency domains. Thanks to its unique properties, the FrFT has found multiple applications such as solving differential equations, quantum mechanics, optical image processing and signal processing. This paper gives a brief introduction to FrFT and reviews the current research progress of FrFT in several fields such as filtering, neural network, image processing and wireless communication. In addition, some typical applications in optical communication are depicted in detail. Some research directions of FrFT in optical communication field are suggested.
Keywords:fractional Fourier transformation  optical communication  dispersion  nonlinearity  OFDM  
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