9. The convolution of two continuous time-domain functions is (A) the Fourier transform of the product of the functions (B) a function representing the overlap of one func- tion that has been shifted over another (C) the integral representing the ratio of the area under the functions (D) a process used to obtain the product of the real roots from functions 9. The convolution integral is = x(t-7)y(T) dr v(t) (t) y(t) A convolution integral can be visualized as the amount of overlap of one function, x(t), as it is shifted by time T over another function, y(t). The answer is (B).
9. The convolution of two continuous time-domain functions is (A) the Fourier transform of the product of the functions (B) a function representing the overlap of one func- tion that has been shifted over another (C) the integral representing the ratio of the area under the functions (D) a process used to obtain the product of the real roots from functions 9. The convolution integral is = x(t-7)y(T) dr v(t) (t) y(t) A convolution integral can be visualized as the amount of overlap of one function, x(t), as it is shifted by time T over another function, y(t). The answer is (B).
Introductory Circuit Analysis (13th Edition)
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Author:Robert L. Boylestad
Publisher:Robert L. Boylestad
Chapter1: Introduction
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the attached image shows a question and its answer but still, I couldn't understand it please simply explain it
Transcribed Image Text:9. The convolution of two continuous time-domain
functions is
(A) the Fourier transform of the product of the
functions
(B)
a function representing the overlap of one func-
tion that has been shifted over another
(C) the integral representing the ratio of the area
under the functions
(D)
a process used to obtain the product of the real
roots from functions
Transcribed Image Text:9. The convolution integral is
= x(t-7)y(T) dr
v(t) (t) y(t)
A convolution integral can be visualized as the amount
of overlap of one function, x(t), as it is shifted by time T
over another function, y(t).
The answer is (B).
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