Digital Communications Laboratory Viva Questions - Part 4

Theory_Questions:

1. The channel matrix is represented as then the channel is

1. Binary Symmetric channel
2. Binary channel
3. Binary erase channel
4. All the above

2. In the Above matrix with p=0.5 and input binary symbols 0 & 1 occur with equal probability find the probability of the binary symbol 1 appearing at the channel output.

1. 0.25
2. 0.5
3. 1
4. 0.125

3. In the Above matrix with p=0.5 and input binary symbols 0 & 1 occur with equal probability find the probability of the binary symbol 0 appearing at the channel output.

5. 0.25
6. 0.5
7. 1
8. 0.125

4. In the Above matrix with p=0.5 and input binary symbols 0 & 1 occur with equal probability find the joint probability distribution P(0,1) is

9. 0.25
10. 0.5
11. 1
12. 0.125

5. AWGN stands for

1. Analog White Gaussian Noise
2. Additive White Gaussian Noise
3. Advanced White Gaussian Noise
4. Additive Whole Gaussian Noise

6. How the signal travels through channel

1. Line Of Sight direct propagation
2. Reflection
3. Diffraction
4. All the Above

7. How the path gain(G) related to the distance(d) between Tx and Rx

1. Directly proportional
2. Inversely proportional
3. No relation
4. None of the above

8. The term White signify in ideal AWGN

1. Noise source power spectral density
2. Ideally flat with frequency
3. Input signal power spectral density
4. Both A&B

9. The channel matrix is represented as then the channel is

1. Binary Symmetric channel
2. Binary channel
3. Binary erase channel
4. All the above

10. The channel matrix p(y/x) is represented as then the channel is

1. Binary Symmetric channel
2. Binary channel
3. Binary erase channel
4. All the above