For questions 1 -7, assume the problem is stated as follows: We have a binary detection problem with two hypotheses: H and H. H₁ We observe a random variable y, and we are given the conditional

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Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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For questions 1-7, assume the
problem is stated as follows: We
have a binary detection problem
with two hypotheses: H and H
We observe a random variable y,
0
and we are given the conditional
probabilities of y as
Y|H
f.
Y|H
1
(y) = 0.5, y = [1,1]; 0 otherwise.
(y) = 1 lyl, y = [1,1]; 0 otherwise.
-0.5
The two densities are shown in the
figures below.
16
14
12
1
OB
0.6
0.4
-
0.2
05
45
12
08
06
04
1°
02)
05
Transcribed Image Text:For questions 1-7, assume the problem is stated as follows: We have a binary detection problem with two hypotheses: H and H We observe a random variable y, 0 and we are given the conditional probabilities of y as Y|H f. Y|H 1 (y) = 0.5, y = [1,1]; 0 otherwise. (y) = 1 lyl, y = [1,1]; 0 otherwise. -0.5 The two densities are shown in the figures below. 16 14 12 1 OB 0.6 0.4 - 0.2 05 45 12 08 06 04 1° 02) 05
QUESTION 4
Now suppose that P (H ) =
1/3,P(H₂) = 2/3
Find the maximum a posteriori (MAP)
decision rule. From the pictures, the MAP
decision rule should be to say H, for \Y\<T,
for some value of the threshold T. Specify that
value, to three decimal places.
Transcribed Image Text:QUESTION 4 Now suppose that P (H ) = 1/3,P(H₂) = 2/3 Find the maximum a posteriori (MAP) decision rule. From the pictures, the MAP decision rule should be to say H, for \Y\<T, for some value of the threshold T. Specify that value, to three decimal places.
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