Sampling theorems in function spaces for frames associated with linear canonical transform

被引:16
|
作者
Shi, Jun [1 ]
Liu, Xiaoping [1 ]
Zhang, Qinyu [2 ]
Zhang, Naitong [1 ,2 ]
机构
[1] Harbin Inst Technol, Commun Res Ctr, Harbin 150001, Peoples R China
[2] Harbin Inst Technol, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China
来源
SIGNAL PROCESSING | 2014年 / 98卷
基金
中国国家自然科学基金;
关键词
Linear canonical transform; Frames; Riesz bases; Function spaces; Sampling theorem; SHIFT-INVARIANT SPACES; BAND-LIMITED SIGNALS; DUAL FRAMES; RECONSTRUCTION; FRESNEL; DOMAIN;
D O I
10.1016/j.sigpro.2013.11.013
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
The linear canonical transform (LCT) has proven to be a powerful tool in optics and signal processing. Most existing sampling theories of this transform were derived from the LCT band-limited signal viewpoint. However, in the real world, many analog signals encountered in practical engineering applications are non-bandlimited. The purpose of this paper is to derive sampling theorems of the LCT in function spaces for frames without bandlimiting constraints. We extend the notion of shift-invariant spaces to the LCT domain and then derive a sampling theorem of the LCT for regular sampling in function spaces with frames. Further, the theorem is modified to the shift sampling in function spaces by using the Zak transform. Sampling and reconstructing signals associated with the LCT are also discussed in the case of Riesz bases. Moreover, some examples and applications of the derived theory are presented. The validity of the theoretical derivations is demonstrated via simulations. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:88 / 95
页数:8
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