04.11.2022, 20:13
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Information Theory And Error Control Coding - Crash Course
Last updated 10/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.39 GB | Duration: 4h 12m
Information Theory for Digital Communication
What you'll learn
Information Theory in Digital Communication
Basic Knowledge of Information Theory and Error Control Coding
Digital Communication, Error Correcting Codes, Source Coding
Probability and Random Process
Requirements
Basic Knowledge of Digital Communication
Basic Knowledge of Analog Communication
Basics of Probability Theory
Basics of Matrix Theory
Description
1. This Course is for Students having background in Electronics and Telecommunication or any relevant stream.2. This Course is made from Digital Communication Point of View.3. If you have any experience in any Communication related Courses prior to this then you can have a look.4. The Prerequisites required are mentioned in the Course Introduction Video.5. This is a Theoretical and Analytical Course.6. This Course is exclusively made from Beginners point of view.7. If you want to learn Applying Probability on Digital Communication.8. Solutions of Each Problem will be in Detail.8. You will be able to learn different topics with this Course like Entropy, Joint Conditional Probability, Source Coding Error Correction.9. You will be able to Imagine this Course Visually after finishing this Course.Information Theory and Error Correcting Codes is one of the Difficult Subjects in the Field of Electronics and Communication - You will learn it easily on this Course.Q:- Will the course teach me Analog or Digital Communication?A:- No, This topic is dealt in separate Course called Analog Communication and Digital Communication, and they require separate Attention all together.With over 3+ Years of Experience and a 4.0 Instructor Rating in Udemy, I am Coming Up with Core Electronics and Communication Course of more than 4+ Hours of Theory and Problem Solving called Information Theory and Error Control Coding - Crash Course.The curriculum was developed over a period of 4 Months.If you are satisfied in any way, Check out my other Courses as well.So what are you waiting for? Click the buy now button and join me on this Wonderful course.
Overview
Section 1: Course Introduction
Lecture 1 Course Introduction
Section 2: Information
Lecture 2 Introduction
Lecture 3 Information
Lecture 4 Entropy
Lecture 5 Information Rate
Lecture 6 Summary of Information, Entropy and Information Rate
Section 3: Source Coding Techniques
Lecture 7 Source Coding Techniques
Lecture 8 Shannon Fano Coding
Lecture 9 Hofmann Coding
Lecture 10 Summary
Section 4: Binary Channels
Lecture 11 Conditional Probability Matrix
Lecture 12 Joint Probability Matrix
Lecture 13 Summary of CPM JPM
Lecture 14 Binary Channels
Lecture 15 Examples on Binary Channels
Lecture 16 Conditional and Joint Entropy
Lecture 17 Caution Point
Section 5: Mutual Information and Channel Capacity
Lecture 18 Mutual Information
Lecture 19 Channel Capacity
Lecture 20 AWGN Channel
Section 6: Error Control Coding
Lecture 21 Introduction to Error Control Coding
Lecture 22 Hamming Weight and Hamming Distance
Lecture 23 Generator Matrix
Lecture 24 Example on LBC
Lecture 25 Error Detection and Error Correction of LBC
Lecture 26 Parity Check Matrix
Lecture 27 Caution on G and H
Lecture 28 Syndrome Decoding
Lecture 29 Error and Detection of Syndrome Decoding
Lecture 30 Hamming Bound and Hamming Code
Lecture 31 Kraft's Inequality
Lecture 32 Special Channels
Lecture 33 Convolution Code
Lecture 34 Viterbi Algorithm
Lecture 35 Repetition of Input
Lecture 36 Repetition of Input Example
Lecture 37 Repetition of Input Example 2
Lecture 38 Different Codes
Section 7: Conclusion
Lecture 39 Few Extra Points
Lecture 40 Course Conclusion
Lecture 41 Thank You Note
Electronics and Telecommunication,Who had prior experience in some Communication Courses
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