A generalized sampling model in shift-invariant spaces associated with fractional Fourier transform

被引:10
|
作者
Zhao, Haoran [1 ]
Qiao, Liyan [1 ]
Fu, Ning [1 ]
Huang, Guoxing [1 ]
机构
[1] Harbin Inst Technol, Dept Automat Test & Control, 2 Yikuang St, Harbin, Heilongjiang, Peoples R China
来源
SIGNAL PROCESSING | 2018年 / 145卷
关键词
Fractional Fourier transform; Fractional convolution; Shift invariant spaces; Sampling spaces; BAND-LIMITED SIGNALS; UNMATCHED FILTER PROPERTIES; PULSE-SHAPING FILTERS; DOMAIN; RECONSTRUCTION; EXPANSION; THEOREMS;
D O I
10.1016/j.sigpro.2017.11.009
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
Sampling theories associated with the fractional Fourier transform (FrFT) have blossomed in recent years. However, the majority of the existing sampling models in shift-invariant spaces are constructed using a single generator, which may be inefficient for some mixed signals. In this paper, we first develop a theory for generalized shift-invariant and sampling spaces associated with the FrFT. The conditions and related proof for forming a Riesz basis using the proposed theory are provided. Based on the proposed theory, non-ideal sampling frameworks are constructed using a single generator and multi generators. Furthermore, considering that the non-ideal sampling schemes contain many chirp signal modulators that would increase the hardware complexity and energy consumption, the simplified non-ideal sampling models are also shown in this paper. Finally, the numerical results validate the theoretical derivations. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 11
页数:11
相关论文
共 50 条