Multiplicative filtering in the fractional Fourier domain

被引:15
|
作者
Wei, Deyun [1 ]
Ran, Qiwen [1 ,2 ]
机构
[1] Harbin Inst Technol, Natl Key Lab Tunable Laser Technol, Harbin 150001, Peoples R China
[2] Harbin Inst Technol, Nat Sci Res Ctr, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
Multiplicative filtering; Fractional Fourier transform; Convolution theorem; Computational complexity; LINEAR CANONICAL TRANSFORM; BAND-LIMITED SIGNALS; CONVOLUTION THEOREMS; PRODUCT THEOREM; WIGNER;
D O I
10.1007/s11760-011-0261-5
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this article, we investigate the multiplicative filtering in the fractional Fourier transform (FRFT) domain based on the generalized convolution theorem which states that the convolution of two signals in time domain results in simple multiplication of their FRFTs in the FRFT domain. In order to efficiently implement multiplicative filtering, we express the generalized convolution structure by the conventional convolution operation. Utilizing the generalized convolution structure, we convert the multiplicative filtering in the FRFT domain easily to the time domain. Based on the model of multiplicative filtering in the FRFT domain, a practical method is proposed to achieve the multiplicative filtering through convolution in the time domain. This method can be realized by classical Fast Fourier transform (FFT) and has the same capability compared with the method achieved in the FRFT domain. As convolution can be performed by FFT, this method is more useful from practical engineering perspective.
引用
收藏
页码:575 / 580
页数:6
相关论文
共 50 条
  • [1] Multiplicative filtering in the fractional Fourier domain
    Deyun Wei
    Qiwen Ran
    [J]. Signal, Image and Video Processing, 2013, 7 : 575 - 580
  • [2] Adaptive fractional Fourier domain filtering
    Durak, L.
    Aldirmaz, S.
    [J]. SIGNAL PROCESSING, 2010, 90 (04) : 1188 - 1196
  • [3] Matched Filtering in Fractional Fourier Domain
    Zhang, Feng
    Tao, Ran
    Wang, Yue
    [J]. PROCEEDINGS OF THE 2012 SECOND INTERNATIONAL CONFERENCE ON INSTRUMENTATION & MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2012), 2012, : 1 - 4
  • [4] Adaptive filtering in fractional Fourier domain
    Qi, L
    Zhang, YH
    Tao, R
    Wang, Y
    [J]. IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications Proceedings, Vols 1 and 2, 2005, : 1033 - 1036
  • [5] CHIRP FILTERING IN THE FRACTIONAL FOURIER DOMAIN
    DORSCH, RG
    LOHMANN, AW
    BITRAN, Y
    MENDLOVIC, D
    OZAKTAS, HM
    [J]. APPLIED OPTICS, 1994, 33 (32): : 7599 - 7602
  • [6] Repeated fractional Fourier domain filtering is equivalent to repeated time and frequency domain filtering
    Ozaktas, HM
    [J]. SIGNAL PROCESSING, 1996, 54 (01) : 81 - 84
  • [7] Power filtering of nth order in the fractional Fourier domain
    Alieva, T
    Calvo, ML
    Bastiaans, MJ
    [J]. JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 2002, 35 (36): : 7779 - 7785
  • [8] Mixed Cadzow filtering method in fractional Fourier domain
    Zhong-Lin Cao
    Jun-Xing Cao
    Fu-Rong Wu
    Guang-Ming He
    Qiang Zhou
    Yu-Lin Wu
    [J]. Applied Geophysics, 2018, 15 : 271 - 279
  • [9] Enhancement of photolithography resolution by fractional Fourier domain filtering
    Du, JL
    Cui, Z
    Zhang, YX
    Du, CL
    Yang, J
    Guo, YK
    [J]. MICROELECTRONIC ENGINEERING, 2003, 67-8 : 31 - 38
  • [10] Mixed Cadzow filtering method in fractional Fourier domain
    Cao Zhong-Lin
    Cao Jun-Xing
    Wu Fu-Rong
    He Guang-Ming
    Zhou Qiang
    Wu Yu-Lin
    [J]. APPLIED GEOPHYSICS, 2018, 15 (02) : 271 - 279