Finite Gabor systems and uncertainty principle for block sliding discrete fourier transform

Pub Date : 2023-01-01 DOI:10.2298/fil2308361p
K. Poumai, N. Khanna, S. K. Kaushik
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Abstract

In this paper, we study the finite Gabor system for oversampling schemes. A characterization of dual finite Gabor tight frame using discrete time Zak transform is given. Also, a method to calculate the coefficients of the finite Gabor system expansion in the case of oversampling and a necessary and sufficient condition for the existence of biorthogonal pair of Riesz basis in l2(ZL) is given. Further, we introduce the notion of block sliding discrete Fourier transform (BSDFT) which reduces the computational complexity and give uncertainty principle for BSDFT. An uncertainty principle for two finite Parseval Gabor frames in terms of sparse representations is given. Finally, using the notion of numerical sparsity, an uncertainty principle for finite Gabor frames is given.
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有限Gabor系统与块滑动离散傅里叶变换的不确定性原理
本文研究了过采样格式的有限Gabor系统。利用离散时间Zak变换给出了对偶有限Gabor紧框架的表征。给出了过采样情况下有限Gabor系统展开系数的计算方法,并给出了l2(ZL)中Riesz基双正交对存在的充分必要条件。引入块滑动离散傅里叶变换(BSDFT)的概念,降低了计算复杂度,并给出了BSDFT的不确定性原理。给出了两个有限Parseval Gabor框架在稀疏表示下的不确定性原理。最后,利用数值稀疏性的概念,给出了有限Gabor框架的不确定性原理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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