Convolution and Correlation Theorems for Wigner-Ville Distribution Associated with the Quaternion Offset Linear Canonical Transform
Mohammad Younus Bhat, Aamir Hamid Dar

TL;DR
This paper introduces the Wigner-Ville Distribution associated with the quaternion offset linear canonical transform (WVD-QOLCT), establishing its properties and related convolution and correlation theorems for advanced signal and image analysis.
Contribution
It defines WVD-QOLCT, derives its key properties, and develops new convolution and correlation theorems, extending previous results for QWVD and WVD-QLCT.
Findings
WVD-QOLCT properties such as nonlinearity and orthogonality are established.
New convolution and correlation operators for WVD-QOLCT are proposed.
Theorems generalize existing results for QWVD and WVD-QLCT.
Abstract
The quaternion offset linear canonical transform(QOLCT) has gained much popularity in recent years because of its applications in many areas, including color image and signal processing. At the same time the applications of Wigner-Ville distribution (WVD) in signal analysis and image processing can not be excluded. In this paper we investigate the Winger-Ville Distribution associated with quaternion offset linear canonical transform (WVD-QOLCT). Firstly, we propose the definition of the WVD-QOLCT, and then several important properties of newly defined WVD-QOLCT, such as nonlinearity, bounded, reconstruction formula, orthogonality relation and Plancherel formula are derived. Secondly a novel canonical convolution operator and a related correlation operator for WVD-QOLCT are proposed. Moreover, based on the proposed operators, the corresponding generalized convolution, correlation…
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Taxonomy
TopicsMathematical Analysis and Transform Methods · Image and Signal Denoising Methods · Digital Filter Design and Implementation
MethodsConvolution
