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Journal ArticleDOI

Generalized convolution and product theorems associated with linear canonical transform

TLDR
This paper first proposes a generalized convolution theorem for the LCT and then derives a corresponding product theorem associated with the L CT, which is shown to be special cases of the derived results.
Abstract
The linear canonical transform (LCT), which is a generalized form of the classical Fourier transform (FT), the fractional Fourier transform (FRFT), and other transforms, has been shown to be a powerful tool in optics and signal processing. Many results of this transform are already known, including its convolution theorem. However, the formulation of the convolution theorem for the LCT has been developed differently and is still not having a widely accepted closed-form expression. In this paper, we first propose a generalized convolution theorem for the LCT and then derive a corresponding product theorem associated with the LCT. The ordinary convolution theorem for the FT, the fractional convolution theorem for the FRFT, and some existing convolution theorems for the LCT are shown to be special cases of the derived results. Moreover, some applications of the derived results are presented.

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Citations
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Journal ArticleDOI

Convolution and Multichannel Sampling for the Offset Linear Canonical Transform and Their Applications

TL;DR: New convolution and product theorems for the OLCT are proposed, which state that a modified ordinary convolution in the time domain is equivalent to simple multiplication operations for theOLCT and the Fourier transform (FT) and a practical multichannel sampling expansion constructed by the new convolution structure is introduced.
Journal ArticleDOI

Convolution and correlation theorems for the two-dimensional linear canonical transform and its applications

TL;DR: The authors derive the convolution and correlation theorems for the two-dimensional linear canonical transform (2D LCT) and utilise the Convolution theorem to investigate the sampling theorem for the band limited signal in the 2D L CT domain.
Journal ArticleDOI

Sampling and Reconstruction of Signals in Function Spaces Associated With the Linear Canonical Transform

TL;DR: This correspondence proposes a sampling and reconstruction strategy for a class of function spaces associated with the linear canonical transform, and presents a more comprehensive sampling theory for the LCT in the function spaces, and establishes a sampling theorem which recovers a signal from its own samples in thefunction spaces.
Journal ArticleDOI

Sampling and Reconstruction in Arbitrary Measurement and Approximation Spaces Associated With Linear Canonical Transform

TL;DR: A generalized sampling theorem for arbitrary measurement and approximation spaces associated with the linear canonical transform is proposed, which can provide a suitable and realistic model of sampling and approximation for real-world applications.
Journal ArticleDOI

A generalized convolution theorem for the special affine Fourier transform and its application to filtering

TL;DR: In this paper, a new convolution structure for the special affine Fourier transform (SAFT) is introduced, which preserves the convolution theorem for the FT, which states that the FT of the convolutions of two functions is the product of their Fourier transforms.
References
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Book

Probability, random variables and stochastic processes

TL;DR: This chapter discusses the concept of a Random Variable, the meaning of Probability, and the axioms of probability in terms of Markov Chains and Queueing Theory.
Book

Random variables and stochastic processes

TL;DR: An electromagnetic pulse counter having successively operable, contact-operating armatures that are movable to a rest position, an intermediate position and an active position between the main pole and the secondary pole of a magnetic circuit.
Journal ArticleDOI

Optical image encryption based on input plane and Fourier plane random encoding.

TL;DR: A new optical encoding method of images for security applications is proposed and it is shown that the encoding converts the input signal to stationary white noise and that the reconstruction method is robust.
Book

The Fractional Fourier Transform: with Applications in Optics and Signal Processing

TL;DR: The fractional Fourier transform (FFT) as discussed by the authors has been used in a variety of applications, such as matching filtering, detection, and pattern recognition, as well as signal recovery.
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