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Unit 6 - Week 5
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Decoding of Convolutional Codes-II: BCJR Algorithm Problem solving session-IV Problem solving session-V Performance Bounds for Convolutional Codes Quiz : Assignment-5 An Introduction To Coding Theory - Week 5 Feedback Assignment-5 solution
Due on 2019-03-06, 23:59 IST.
1) 1 point
2) 1 point
3) 1 point
Assignment-5
The due date for submitting this assignment has passed.
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BCJR algorithm can be applied to
Linear block codes Convolutional codes both
none
No, the answer is incorrect.
Score: 0
Accepted Answers:
both
What is the overall constraint length of the
encoder realized in controller canonical form ?
2 4 6 8
No, the answer is incorrect.
Score: 0
Accepted Answers:
4
What is the overall constraint length of the
encoder realized in observer canonical form ?
2 4 6 8
No, the answer is incorrect.
Score: 0
G(D) = [ D
2]
1 D
D
21 1 + D + D
2G(D) = [ D
2]
1 D
D
21 1 + D + D
2A project of In association with
Funded by
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Introduction to Coding Theory - - Unit 6 - Week 5 https://onlinecourses.nptel.ac.in/noc19_ee26/un...
1 of 4 Friday 10 May 2019 10:29 AM
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4) 1 point
5) 1 point
6) 1 point
7) 1 point
Accepted Answers:
6
Is the encoder given by generator
matrix catastrophic?
Yes No
No, the answer is incorrect.
Score: 0
Accepted Answers:
Yes
Which of the following is the minimal encoder corresponding to the generator matrix?
None of the above No, the answer is incorrect.
Score: 0
Accepted Answers:
Is the systematic equivalent encoder corresponding to the generator
matrix realizable?
Yes No
No, the answer is incorrect.
Score: 0
Accepted Answers:
No
Consider the (2,1,2) non-systematic feedforward encoder
with . Its minimum delay feedforward inverse is given by
G(D) = [ 1 + D
3 1+ + +D1+D+D2 D32D5]
G(D) = [ 1
1+D+ + + +1+ + +DD22 DD33 DD45 D5]
[ 1
1+D+D1+D 2] [ 1
1+D+D1+D22] [ 1
1+D+D1+D23]
[ 1
1+D+D1+D22]
G(D) = [ 1 ]
0 1
D
2D 1 + D
2G(D) = [1 + D
21 + D + D
2]
[ D
2] 1 + D
2[ D
2]
D
2[ ] 1 1
Introduction to Coding Theory - - Unit 6 - Week 5 https://onlinecourses.nptel.ac.in/noc19_ee26/un...
2 of 4 Friday 10 May 2019 10:29 AM
8) 1 point
9) 1 point
Does not exist No, the answer is incorrect.
Score: 0
Accepted Answers:
Consider the (3,1,2) non-systematic feed-forward encoder
with . An information sequence is encoded using
this convolutional encoder and transmitted over a binary symmetric channel with crossover probability of . The event error probability can be approximated by
No, the answer is incorrect.
Score: 0
Accepted Answers:
Given below is a trellis diagram of (3,1,2) convolutional encoder. What is the correct
expression for forward recursion, alpha calculation? All the notations are same as used in the lectures.
[ ] 1 1
G(D) = [ 1 + D 1 + D
21 + D + D
2] p = 10
−21.28 × 10
−52 × 10
−64 × 10
−72.56 × 10
−81.28 × 10
−5(01) = (00, 10) ∗ (10) + (11, 01) ∗ (01) α
lγ
l−1α
l−1γ
l−1α
l−1(01) = (10, 01) ∗ (10) + (11, 01) ∗ (11) α
lγ
l−1α
l−1γ
l−1α
l−1(01) = (01, 10) ∗ (10) + (01, 00) ∗ (00) α
lγ
l−1α
l−1γ
l−1α
l−1Introduction to Coding Theory - - Unit 6 - Week 5 https://onlinecourses.nptel.ac.in/noc19_ee26/un...
3 of 4 Friday 10 May 2019 10:29 AM
10) 1 point none of the above
No, the answer is incorrect.
Score: 0
Accepted Answers:
For the same encoder given in previous question, what is the correct expression for beta calculation? All the notations are same as used in the lectures.
none of the above No, the answer is incorrect.
Score: 0
Accepted Answers:
(01) = (10, 01) ∗ (10) + (11, 01) ∗ (11) α
lγ
l−1α
l−1γ
l−1α
l−1(01) = (01, 10) ∗ (10) + (01, 00) ∗ (00) β
lγ
lβ
l+1γ
lβ
l+1(01) = (10, 01) ∗ (01) + (10, 00) ∗ (00) β
lγ
lβ
l+1γ
lβ
l+1(01) = (10, 01) ∗ (10) + (11, 01) ∗ (11) β
lγ
lβ
l+1γ
lβ
l+1(01) = (01, 10) ∗ (10) + (01, 00) ∗ (00) β
lγ
lβ
l+1γ
lβ
l+1Previous Page End
Introduction to Coding Theory - - Unit 6 - Week 5 https://onlinecourses.nptel.ac.in/noc19_ee26/un...
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