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Sampling theorems in function spaces for frames associated with linear canonical transform
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DOI：10.1016/j.sigpro.2013.11.013.png)
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Abstract
En 中文
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.
Keywords:
Linear canonical transform
Frames
Riesz bases
Function spaces
Sampling theorem
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