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

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 - Iconic Pro

English

Information Theory For Gate (ECE)

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 and course overview is covered

Introduction And Overview

Introduction of ITC and Relationship between Probability and Amount of Information about an Event.

Introduction To Information Theory

Fixed length coding,Self information as well as Entropy of a source is discussed

Self Information And FLC

Source coding for FLC and VLC is discussed

Source Coding

Variable length Coding

Unique code with comparison of FLC and VLC is discussed

Unique Code

Prefix Code

Kraft's Inequality

Source Coding Theorem

Example on Source Coding Theorem

Gate/DMRC/ISRO 1-2 Mark Question on Entropy

1-2 Mark Question for Gate/Isro/DMRC on Efficiency

Gate/Isro/DMRC question on Shannon's hartley Theorem

Gate/isro/DMRC Question on ITC

Question On Average No of Bits is Discussed

Gate/DMRC/ISRO Questions Solved

Previous years Question in Gate is discussed

Gate Example on Entropy

Gate Example on Capacity

Gate Questions

1-2 Marks gate previous year Questions

Gate Previous years Question s

Gate Previous years Questions

Gate Previous Years Question

Gate Question On BSC

Gate Question on Crossover Probability

Previous Year Gate Question on Mutual Information

Gate Question on AWGN Channel

Gate Question on Sampling

Gate Question on BSC

Gate Question on BSC Part 2

Gate Question on Entropy

Gate Question on AWGN

Part 2 of Gate Question on AWGN

Gate Question on ITC

Previous Years Gate Questions on ITC

Previous Years Gate Questions

Previous Years Gate Questions on ITV

Part 2 of Previous Years Gate Questions is discussed

Part-2 Of Previous Years Gate Questions

Previous years Gate Questions on Gate is discussed

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

Deepali Goyal

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

Information Theory - GATE

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

41 lessons • 5h 41m

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Introduction And Overview

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Introduction To Information Theory

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Self Information And FLC

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Source Coding

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Variable length Coding

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Unique Code

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Prefix Code

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Kraft's Inequality

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Source Coding Theorem

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Example on Source Coding Theorem

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