Shift-invariant spaces play an important role in sampling theory, multiresolution analysis, and many other areas of signal and image processing. A special class of the shift-invariant spaces is the class of sampling spaces in which functions are determined by their values on a discrete set of points. One of the vital tools used in the study of sampling spaces is the Zak transform. The Zak transform is also related to the Poisson summation formula and a common thread between all these notions is the Fourier transform
This paper presents that the kernel of the fractional Fourier transform (FRFT) satisfies the operato...
In this chapter, we consider a variety of Hilbert and Banach spaces that admit sampling expansions, ...
In the more general framework ' shift invariant subspace", the paper obtains a different e...
Abstract—A sampling theorem for regular sampling in shift invariant subspaces is established. The su...
Non-ideal sampling has nourished as one of the most attractive alternatives to classical sampling, w...
Abstract. This article discusses modern techniques for non-uni-form sampling and reconstruction of f...
Abstract. This article discusses modern techniques for nonuniform sampling and reconstruction of fun...
The fractional Fourier transform (FRFT), a generalization of the Fourier transform, has proven to be...
An important cornerstone of both wavelet and sampling theory is shift-invariant spaces, that is, spa...
AbstractAn important cornerstone of both wavelet and sampling theory is shift-invariant spaces, that...
Real-world signals are often not band-limited, and in many cases of practical interest sampling poin...
AbstractNowadays the topic of sampling in a shift-invariant space is having a significant impact: it...
The fractional Fourier transform (FRT) is an extension of the ordinary Fourier transform (FT). Apply...
A subspace V of L2(ℝ) is called shift-invariant if it is the closed linear span of integer-shifted c...
Abstract. Gabor’s expansion of a signal into a discrete set of shifted and modu-lated versions of an...
This paper presents that the kernel of the fractional Fourier transform (FRFT) satisfies the operato...
In this chapter, we consider a variety of Hilbert and Banach spaces that admit sampling expansions, ...
In the more general framework ' shift invariant subspace", the paper obtains a different e...
Abstract—A sampling theorem for regular sampling in shift invariant subspaces is established. The su...
Non-ideal sampling has nourished as one of the most attractive alternatives to classical sampling, w...
Abstract. This article discusses modern techniques for non-uni-form sampling and reconstruction of f...
Abstract. This article discusses modern techniques for nonuniform sampling and reconstruction of fun...
The fractional Fourier transform (FRFT), a generalization of the Fourier transform, has proven to be...
An important cornerstone of both wavelet and sampling theory is shift-invariant spaces, that is, spa...
AbstractAn important cornerstone of both wavelet and sampling theory is shift-invariant spaces, that...
Real-world signals are often not band-limited, and in many cases of practical interest sampling poin...
AbstractNowadays the topic of sampling in a shift-invariant space is having a significant impact: it...
The fractional Fourier transform (FRT) is an extension of the ordinary Fourier transform (FT). Apply...
A subspace V of L2(ℝ) is called shift-invariant if it is the closed linear span of integer-shifted c...
Abstract. Gabor’s expansion of a signal into a discrete set of shifted and modu-lated versions of an...
This paper presents that the kernel of the fractional Fourier transform (FRFT) satisfies the operato...
In this chapter, we consider a variety of Hilbert and Banach spaces that admit sampling expansions, ...
In the more general framework ' shift invariant subspace", the paper obtains a different e...