New convolution structure for the linear canonical transform and its application in filter design

被引:17
|
作者
Zhang, Zhi-Chao [1 ]
机构
[1] Sichuan Univ, Coll Math, Chengdu 610065, Peoples R China
来源
OPTIK | 2016年 / 127卷 / 13期
关键词
Convolution and product theorem; Linear canonical transform; Multiplicative filter; Computational complexity; FRACTIONAL FOURIER-TRANSFORM; BAND-LIMITED SIGNALS; PRODUCT THEOREM; UNCERTAINTY PRINCIPLES; DOMAINS; OPTICS; RECONSTRUCTION; SAMPLES;
D O I
10.1016/j.ijleo.2016.03.025
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The convolution and product theorem for the Fourier transform (FT) plays an important role in signal processing theory and application. The linear canonical transform (LCT), which is a generalization of the FT and the fractional Fourier transform (FRFT), has found many applications in optics and non-stationary signal processing. Recently, some scholars have formulated a series of convolution and product theorems for the LCT, however, both of them do not maintain the convolution theorem for the FT. The purpose of this paper is to present a new convolution structure for the LCT having the elegance and simplicity in both time and LCT domains comparable to that of the FT. We also show that with the new convolution theorem it is convenient to implement in the designing of multiplicative filters through both the new convolution in the time domain and the product in the LCT domain. (C) 2016 Elsevier GmbH. All rights reserved.
引用
收藏
页码:5259 / 5263
页数:5
相关论文
共 50 条
  • [31] Fractional convolution, correlation theorem and its application in filter design
    Feng, Qiang
    Wang, Rong-Bo
    SIGNAL IMAGE AND VIDEO PROCESSING, 2020, 14 (02) : 351 - 358
  • [32] Fractional convolution, correlation theorem and its application in filter design
    Qiang Feng
    Rong-Bo Wang
    Signal, Image and Video Processing, 2020, 14 : 351 - 358
  • [33] Linear canonical transform and its implication
    Deng, Bing
    Tao, Ran
    Binggong Xuebao/Acta Armamentarii, 2006, 27 (04): : 665 - 670
  • [34] Graph Linear Canonical Transform: Definition, Vertex-Frequency Analysis and Filter Design
    Chen, Jian Yi
    Zhang, Yu
    Li, Bing Zhao
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2024, 72 : 5691 - 5707
  • [35] Clifford-valued linear canonical transform: Convolution and uncertainty principles
    Shah, Firdous A.
    Teali, Aajaz A.
    OPTIK, 2022, 265
  • [36] Convolution, Correlation, and Uncertainty Principles for the Quaternion Offset Linear Canonical Transform
    Urynbassarova, Didar
    Teali, Aajaz A.
    MATHEMATICS, 2023, 11 (09)
  • [37] Application of linear canonical transform to AWGN channels
    Sharma, Kamalesh Kumar
    International Journal of Signal Processing, Image Processing and Pattern Recognition, 2011, 4 (04) : 105 - 114
  • [38] A framework of linear canonical transform on pseudo-differential operators and its application
    Kumar, Manish
    Pradhan, Tusharakanta
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2021, 44 (14) : 11425 - 11443
  • [39] Multichannel sampling expansion in the linear canonical transform domain and its application to superresolution
    Wei, Deyun
    Ran, Qiwen
    Li, Yuanmin
    OPTICS COMMUNICATIONS, 2011, 284 (23) : 5424 - 5429
  • [40] Windowed linear canonical transform and its applications
    Kou, Kit-Ian
    Xu, Rui-Hui
    SIGNAL PROCESSING, 2012, 92 (01) : 179 - 188