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2022
DOI: 10.1016/j.ijleo.2022.169678
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Scaled ambiguity function and scaled Wigner distribution for LCT signals

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Cited by 16 publications
(6 citation statements)
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“…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%
See 2 more Smart Citations
“…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%
See 1 more Smart Citation
“…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.…”
Section: Introductionmentioning
confidence: 99%
“…The linear canonical transform (LCT) with four parameters false(a,b,c,dfalse)$$ \left(a,b,c,d\right) $$ 1–3 has been generalized to a six parameter transform false(a,b,c,d,p,qfalse)$$ \left(a,b,c,d,p,q\right) $$ known as offset LCT (OLCT) 4–7 . Due to the time shifting parameter p$$ p $$ and frequency modulation parameter q$$ q $$, 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 ).…”
Section: Introductionmentioning
confidence: 99%