Deepali Goyal

In this course we will study about information theory from exam point of view

GATE (Graduate Aptitude Test in Engineering) 2020 & 2021 complete preparation with best educators. Know about the detailed syllabus, best books, exam pattern and dates, previous year question papers a

GATE & ESE

English

Information Theory - GATE

Information Theory & Coding

Communications

GATE & ESE - EE, EC

GATE, ESE and IIT-JAM

Ace the toughest competitive and government exams in India 

Test Preparation

Introduction

What is average information or entropy of a source

Entropy

Source Coding

Channel representation,  Channel matrix and Joint probability

Discrete memoryless channel

Types of channels- Lossless,  Deterministic,  Noiseless and Binary Symmetric Channel

Types of channels

Conditional entropy,  Joint Entropy and Mutual Information

Conditional, Joint Entropy and Mutual Information

Channel capacity for different types of channels and Shannon Hartley law

Channel capacity

AWGN Channel

What is linear block codes,  Generator matrix and Question to understand the concept

Linear Block Codes

Parity check matrix,  Syndrome decoding for error detection and correction and how dmin is used to detect and correct error

Error detection and Correction

Hamming bound,  Hamming codes and perfect codes

Hamming bound

Discussion of questions that are important and different

Questions

Vishal Soni

In this course various parameters of random variable and their relation with probability will be discussed .
This topic is important for GATE and ESE aspirants of E and T branch.

Probability and Random Variable

Download Shrenik Jain - Study Simplified App to study LIVE  from Shrenik Jain sir 

Shrenik Jain Study Simplified

This course discusses Entropy, codeword and efficiency.

All the main concepts are covered in easy manner

(Hindi) Information Theory - Concepts and GATE Questions

Research enthusiast | writer | M.tech in Electronics | Motivator. 

Ankita Bhaskar

This course shows how the quantification of information is done. A brief discussion on the basic formulas related to information theory is shown as well. At last some GATE questions are solved.

(Hindi) Information Theory for GATE (ECE)

B.Tech. graduate from ECE with First Division Honours. Engineer by profession Educator by passion. My Motive is to 'Grow & Learn' always.

Indu Yadav

This course contains all the topics related to information theory to understand the concept better with some lessons devoted for practise of previous year GATE numericals only.

Information Theory for GATE

MTECH V.L.S.I from Indira Gandhi Delhi Technical University, Delhi. Gate 2019 Qualified in ECE
Passionate optimist and Circuits lover

Anukriti Lee

In this course Important  concepts related to Information Theory is going to be covered according to Gate and IES curriculum

Information Theory For Gate (ECE)

I am an Electronics engineer.Passionate to share my knowledge to students who actually need it.In my subject u definitely go well.

Vaibhav Goel

We will discuss all the theory plus questions important for GATE 2020 and ESE 2020. 
This will cover random process first followed by random variable.
Now I assure that this after watching this you have much confidence in this topic as before

Lessons

12 lessons • 2h 18m

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Introduction

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Entropy

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Source Coding

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Discrete memoryless channel

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Types of channels

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Conditional, Joint Entropy and Mutual Information

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Channel capacity

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AWGN Channel

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Linear Block Codes

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Error detection and Correction

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