15) The figure below shows a binary symmetric channel where each symbol ("0" or "1") sent is inverted with probability "p", independently of all other symbols. In simple terms, when "0" is transmitted, probability of receiving "1" is "p" and probability of receiving "0" is "1-p". When "1" is transmitted, probability of receiving "0" is "p" and probability of receiving "1" is "1-p". The input X to the binary symmetric channel shown in the figure is '1' with probability 0.8 (P(X= 1) = 0.8). The cross-over probability is p = 1/7. If the received symbol is Y = 0, what is the conditional probability that X = 1 was transmitted? 1-p X = 0 X = 1 O a. 1/5 O b. 2/5 O c. 3/5 O d. 4/5 р р 1-p Y = 0 Y = 1

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### Binary Symmetric Channel Analysis

#### Question 15:

The figure below illustrates a binary symmetric channel where each symbol ("0" or "1") sent is inverted with probability "p", independently of all other symbols. In simple terms:

- When "0" is transmitted, the probability of receiving "1" is "p" and the probability of receiving "0" is "1-p".
- When "1" is transmitted, the probability of receiving "0" is "p" and the probability of receiving "1" is "1-p".

The input \(X\) to the binary symmetric channel shown in the figure is '1' with probability 0.8 \(\big(P(X = 1) = 0.8\big)\). The cross-over probability is \(p = \frac{1}{7}\).

#### Diagram Explanation:

- The diagram represents the possible transitions between input \(X\) and output \(Y\).
- If \(X = 0\):
  - The probability to receive \(Y = 0\) is \(1 - p\).
  - The probability to receive \(Y = 1\) is \(p\).
- If \(X = 1\):
  - The probability to receive \(Y = 1\) is \(1 - p\).
  - The probability to receive \(Y = 0\) is \(p\).

```

      1 - p
X = 0 -----> Y = 0
  \         ^
   \       / 
    \  p  /
     v   /
X = 1 -----> Y = 1 
      1 - p
```

#### Problem Statement:

If the received symbol is \(Y = 0\), what is the conditional probability that \(X = 1\) was transmitted?

##### Options:
- a. \(\frac{1}{5}\)
- b. \(\frac{2}{5}\)
- c. \(\frac{3}{5}\)
- d. \(\frac{4}{5}\)

*This question pertains to the understanding and computation of conditional probabilities within the context of a binary symmetric channel.*

The correct answer should be determined after conducting the necessary calculations and analysis of the probabilities.
Transcribed Image Text:### Binary Symmetric Channel Analysis #### Question 15: The figure below illustrates a binary symmetric channel where each symbol ("0" or "1") sent is inverted with probability "p", independently of all other symbols. In simple terms: - When "0" is transmitted, the probability of receiving "1" is "p" and the probability of receiving "0" is "1-p". - When "1" is transmitted, the probability of receiving "0" is "p" and the probability of receiving "1" is "1-p". The input \(X\) to the binary symmetric channel shown in the figure is '1' with probability 0.8 \(\big(P(X = 1) = 0.8\big)\). The cross-over probability is \(p = \frac{1}{7}\). #### Diagram Explanation: - The diagram represents the possible transitions between input \(X\) and output \(Y\). - If \(X = 0\): - The probability to receive \(Y = 0\) is \(1 - p\). - The probability to receive \(Y = 1\) is \(p\). - If \(X = 1\): - The probability to receive \(Y = 1\) is \(1 - p\). - The probability to receive \(Y = 0\) is \(p\). ``` 1 - p X = 0 -----> Y = 0 \ ^ \ / \ p / v / X = 1 -----> Y = 1 1 - p ``` #### Problem Statement: If the received symbol is \(Y = 0\), what is the conditional probability that \(X = 1\) was transmitted? ##### Options: - a. \(\frac{1}{5}\) - b. \(\frac{2}{5}\) - c. \(\frac{3}{5}\) - d. \(\frac{4}{5}\) *This question pertains to the understanding and computation of conditional probabilities within the context of a binary symmetric channel.* The correct answer should be determined after conducting the necessary calculations and analysis of the probabilities.
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