20-The joint probability of channel is defined as: P(x₁, y₁)= 1, P(x₁, y2) = 0, P(x2, y₁) = 0.5, P(x2, Y₂) = 0.5, P(x3, y₁) = 0.3, P(x3, y2) = 0.7. Find: Marginal entropies. Joint entropy 2- 3- 4- Conditional entropies. d- The mutual information between x, and y2. The trans information. Draw the channel model. e- f-

20-The joint probability of channel is defined as: P(x₁, y₁)= 1, P(x₁, y2) = 0, P(x2, y₁) = 0.5, P(x2, Y₂) = 0.5, P(x3, y₁) = 0.3, P(x3, y2) = 0.7. Find: Marginal entropies. Joint entropy 2- 3- 4- Conditional entropies. d- The mutual information between x, and y2. The trans information. Draw the channel model. e- f-

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

20-The joint probability of channel is defined as:
P(x₁, y₁) = 1, P(x₁, y2) = 0, P(x2, ₁) = 0.5, P(x2, y2) = 0.5,
P(x3, y₁) = 0.3, P(x3, y2) = 0.7. Find:
Marginal entropies.
Joint entropy
2-
3-
4- Conditional entropies.
d- The mutual information between x₁
The trans information.
Draw the channel model.
e-
f-
and
Y2.

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