
ANALYSIS+DESIGN OF LINEAR CIRCUITS(LL)
8th Edition
ISBN: 9781119235385
Author: Thomas
Publisher: WILEY
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For the circuit shown in Figure (1). Solve the following: (
A. What type of logic does it represent?
C. Explain the function of D1.
B. What type of logic family does it belong to?
D. Explain the importance of DL.
E. How many stages it has? Explain the function of each one.
F. Construct the truth table and explain it briefly.
G.How can you convert this circuit to an open collector form? Explain and sketch it.
H.How can you convert this circuit to a tri-state form? Explain and sketch it.
I. How can you prevent the transistors from being saturated?
J. Which transistor should be modified to convert this circuit to a 4-inputs NAND?
Explain and sketch it.
K.Convert this circuit to a 2-inputs NOR gate and draw it.
R-1200
R-4.2K
R-1.5K
R-IK
Figure (1)
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E. How many stages it has? Explain the function of each one.
F. Construct the truth table and explain it briefly.
G.How can you convert this circuit to an open collector form? Explain and sketch it.
H.How can you convert this circuit to a tri-state form? Explain and sketch it.
I. How can you prevent the transistors from being saturated?
J. Which transistor should be modified to convert this circuit to a 4-inputs NAND?
Explain and sketch it.
K.Convert this circuit to a 2-inputs NOR gate and draw it.
R-4.2K
W
R-1200
R-1.5K
R-IK
Figure (1)
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- b) The joint probability function for the random variables X and Y is given in Table below. Find a) the marginal probability function of X and Y. P(Y/X) and P(X/Y). c) P(X ≥ 2, Y ≤ 2) y 1 2 3 10.05 0.05 0.1 P(X, Y) = X 20.05 0.1 0.35 3 0 0.2 0.1arrow_forwardSuppose a random variable X as pmf / Px (x) = { %, x = 1, 2, 3, 0, otherwise. find constand c ①P(X = 1), P(X 7,2), PC1 3) C CDFarrow_forwardSuppose that a coin is tossed three so that the sample space is Let X represent the number of heads that can come up. i) Find the probability function corresponding to the random variable X. Assuming that the coin is fair ii) Find the distribution function for the random variable X. iii) Obtain its graph.arrow_forward
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