“…It is worth to mention that if we change the parameter Ω ¼ A, B, C, D, E ðÞ in the Definition 3.1, we have the following important deductions: i. When the parameter Ω ¼ A=2B, À1=B, C=2B,0,0 ðÞ is chosen and multiplying the right side of (9) by À1, the SAFQ (9) yields the scaled ambiguity function associated with linear canonical transform [30]:…”
Section: Definition Of the Scaled Afqmentioning
confidence: 99%
“…When the parameter is choosen as Ω ¼ 0,1,0,0,0 ðÞ is chosen, the scaled AFQ (4) boils down to the classical scaled AF given in Ref. [30]. In addition of above if we take k ¼ 1, it reduce to classical Amniguity function.…”
Section: Definition Of the Scaled Afqmentioning
confidence: 99%
“…found in the definition of fractional bi-spectrum [29], which is parameterized by a constant k ∈ þ to introduced a scaled version of the conventional WD. Later Dar and Bhat [30] introduced the scaled version of Ambiguity function and Wigner distribution in the linear canonical transform domain. They also introduced scaled version of Wigner distribution in the offset linear canonical transform [31][32][33][34][35], hence provides a novel way for the improvement of the cross-term reduction time-frequency resolution and angle resolution.…”
Quadratic-phase Fourier transform (QPFT) as a general integral transform has been considered into Wigner distribution (WD) and Ambiguity function (AF) to show more powerful ability for non-stationary signal processing. In this article, a new version of ambiguity function (AF) coined as scaled ambiguity function associated with the Quadratic-phase Fourier transform (QPFT) is proposed. This new version of AF is defined based on the QPFT and the fractional instantaneous auto-correlation. Firstly, we define the scaled ambiguity function associated with the QPFT (SAFQ). Then, the main properties including the conjugate-symmetry, shifting, scaling, marginal and Moyal’s formulae of SAFQ are investigated in detail, the results show that SAFQ can be viewed as the generalization of the classical AF. Finally, the newly defined SAFQ is used for the detection of linear-frequency-modulated (LFM) signals.
“…It is worth to mention that if we change the parameter Ω ¼ A, B, C, D, E ðÞ in the Definition 3.1, we have the following important deductions: i. When the parameter Ω ¼ A=2B, À1=B, C=2B,0,0 ðÞ is chosen and multiplying the right side of (9) by À1, the SAFQ (9) yields the scaled ambiguity function associated with linear canonical transform [30]:…”
Section: Definition Of the Scaled Afqmentioning
confidence: 99%
“…When the parameter is choosen as Ω ¼ 0,1,0,0,0 ðÞ is chosen, the scaled AFQ (4) boils down to the classical scaled AF given in Ref. [30]. In addition of above if we take k ¼ 1, it reduce to classical Amniguity function.…”
Section: Definition Of the Scaled Afqmentioning
confidence: 99%
“…found in the definition of fractional bi-spectrum [29], which is parameterized by a constant k ∈ þ to introduced a scaled version of the conventional WD. Later Dar and Bhat [30] introduced the scaled version of Ambiguity function and Wigner distribution in the linear canonical transform domain. They also introduced scaled version of Wigner distribution in the offset linear canonical transform [31][32][33][34][35], hence provides a novel way for the improvement of the cross-term reduction time-frequency resolution and angle resolution.…”
Quadratic-phase Fourier transform (QPFT) as a general integral transform has been considered into Wigner distribution (WD) and Ambiguity function (AF) to show more powerful ability for non-stationary signal processing. In this article, a new version of ambiguity function (AF) coined as scaled ambiguity function associated with the Quadratic-phase Fourier transform (QPFT) is proposed. This new version of AF is defined based on the QPFT and the fractional instantaneous auto-correlation. Firstly, we define the scaled ambiguity function associated with the QPFT (SAFQ). Then, the main properties including the conjugate-symmetry, shifting, scaling, marginal and Moyal’s formulae of SAFQ are investigated in detail, the results show that SAFQ can be viewed as the generalization of the classical AF. Finally, the newly defined SAFQ is used for the detection of linear-frequency-modulated (LFM) signals.
“…Later authors in [24] extended the WD associated with offset linear canonical transform to the novel one. Recently, Dar and Bhat [25] introduced the scaled version of ambiguity function and scaled Wigner distribution in the linear canonical domain. The extension of SWD to different transforms is still in its infancy.…”
In this paper, we propose the novel integral transform coined as the Quadratic-phase Scaled Wigner Distribution (QSWD) by extending the Wigner distribution associated with quadratic-phase Fourier transform(QWD) to the novel one inspired by the definition of fractional bispectrum. A natural magnification effect characterized by the extra degrees of freedom of the quadratic-phase Fourier transform (QPFT) and by a factor k on the frequency axis enables the QSWD to have flexibility to be used in cross-term reduction. By using the machinery of QSWD and operator theory, we first establish the general properties of the proposed transform, including the conjugate-symmetry, non-linearity, shifting, scaling and marginal. Then, we study the main properties of the proposed transform, including the inverse, Moyal's, convolution and correlation. Finally, the applications of the newly defined QSWD for the detection of single-component and bi-component linearfrequency-modulated (LFM) signal are also performed to show the advantage of the theory.
“…The linear canonical transform (LCT) with four parameters 1–3 has been generalized to a six parameter transform known as offset LCT (OLCT) 4–7 . Due to the time shifting parameter and frequency modulation parameter , the OLCT has gained more flexibility over classical LCT and hence has found wide applications in image and signal processing (see previous studies 4,5,8–10 ).…”
In this paper, we introduce the two‐dimensional short‐time quaternion offset linear canonical transform (ST‐QOLCT), which is a generalization of the classical short‐time offset linear canonical transform (ST‐OLCT) in quaternion algebra setting. Several useful properties of the ST‐QOLCT are obtained from the properties of the ST‐QOLCT kernel. Based on the properties of the ST‐QOLCT and the convolution and correlation operators associated with QOLCT, we derive convolution and correlation theorems for the ST‐QOLCT. Finally, some potential applications of the ST‐QOLCT are introduced.
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