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! Required information Consider the following signals. 8 (t) 4tri (÷) – 2tri (÷) The CTFT of g(f) is G(f) Asinc² (Bf) – Csinc² (Df) The numerical values of the constants are A = B= C= and D=

! Required information Consider the following signals. 8 (t) 4tri (÷) – 2tri (÷) The CTFT of g(f) is G(f) Asinc² (Bf) – Csinc² (Df) The numerical values of the constants are A = B= C= and D=

Introductory Circuit Analysis (13th Edition)
Introductory Circuit Analysis (13th Edition)
13th Edition
ISBN:9780133923605
Author:Robert L. Boylestad
Publisher:Robert L. Boylestad
Chapter1: Introduction
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### Required Information Consider the following signals. \[ g(t) = 4 \, \text{tri} \left(\frac{t}{4}\right) - 2 \, \text{tri} \left(\frac{t}{2}\right) \] The CTFT of \( g(t) \) is \[ \mathcal{G}(\mathfrak{f}) = A \, \text{sinc}^2 (Bf) - C \, \text{sinc}^2 (Df) \] The numerical values of the constants are \( A = \square \), \( B = \square \), \( C = \square \), and \( D = \square \). --- Note: The image contains a mathematical expression involving the continuous-time Fourier transform (CTFT) of a signal represented by a triangular function \( \text{tri} \). The constants \( A \), \( B \), \( C \), and \( D \) are to be determined. The CTFT formulation involves squared sinc functions, which commonly appear in signal processing analysis.
Transcribed Image Text:### Required Information Consider the following signals. \[ g(t) = 4 \, \text{tri} \left(\frac{t}{4}\right) - 2 \, \text{tri} \left(\frac{t}{2}\right) \] The CTFT of \( g(t) \) is \[ \mathcal{G}(\mathfrak{f}) = A \, \text{sinc}^2 (Bf) - C \, \text{sinc}^2 (Df) \] The numerical values of the constants are \( A = \square \), \( B = \square \), \( C = \square \), and \( D = \square \). --- Note: The image contains a mathematical expression involving the continuous-time Fourier transform (CTFT) of a signal represented by a triangular function \( \text{tri} \). The constants \( A \), \( B \), \( C \), and \( D \) are to be determined. The CTFT formulation involves squared sinc functions, which commonly appear in signal processing analysis.
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