ISRO , SCIENTIST/ENGINEER
(AIR-8)  ISRO,  E & T Engineer,
 Always remember you are different from others( If u Think u Can )

Rahul Pathak

This course will  explain probability of error in digital communication with concept of random variable and random process.
which will help Electronics and electrical student in competitive exam and engineering 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

Hindi

(Hindi) Probability of Errors and Random Variables: GATE

Random Variables & Noise

Communications

GATE & ESE - EE, EC

GATE, ESE and IIT-JAM

Ace the toughest competitive and government exams in India 

Test Preparation

Introduction of Syllabus( Probability of error and Random Variables) Motivation

Introduction of Syllabus (in Hindi)

Probability of events , example of random experiments .

Random Variable (Part-1)(in Hindi)

Communication noisy channel study system, conditional probability , important question.

Random variable (Part-2)

Baye's theorem , probability of error concept , conditional probability questions.

Random variable (Part-3)

Total Probability concept , bucket problem , important examination question , question based on baye's theorem.

Random Variable (Part-4)

Total probability problems , multiplication theorem and question , independence probability concept and question

Random variable (part-5)

Random Variable defination, mapping with sample space , discrete and continuous random variable. Examples

Random Variable (Part-6)

Probability Mass function(PDF) , Cummulative distribution function (CDF), questions

Random Variable (Part-7)

Cumulative distribution function(cdf), probability of random variable explanation , examples.

Random variable (Part-8)

Continuous Random variable , Probability density function , Cumulative distribution function, introduction of joint distribution function.

Random Variable (Part-9

Marginal distribution function , joint distribution function, the one function of one random variable , one function of two random variable ,

Random Variable (Part-10)

Transformation of random variable , important questions (Gate, IES)

Random Variable (Part-11)

Probability Mass function matrix ,joint matrix,Important questions.

Random Variable (PART-12)

Privious years Questions on Cdf and pdf , graph representation for both .

Random Variable (Part-13)

Important previous years questions based on Cdf and pdf of random variable X

Random Variable (Part-15)

Parameters of random variables (Mean , moment , variance, standard deviation , Power concept )

Random variable (Part-16)

Question based parameters ( mean, variance , standard deviation , moment) of random variable

Random Variable (Part-17)

Uniform probability density function (Problems)

Random Variable (Part-18)

Gaussian (Normal ) probability density function (Questions )

Random Variable (Part-19)

Random Variable ( Part -20)

Here as a Teacher and Learner on Unacademy Family

Bharath S

This course covers the topics and numerical related to Information Theory. The course will be beneficial for GATE aspirants.

Information Theory - GATE (ECE)

Use Referral Code :SanjayYadav1 and get 10% discount on Unacademy Plus. 
Faculty of GATE. Top Educator - GATE (Engineering Mathematics). 

Sanjay Yadav

In this course you will understand all the aspects of Analog communication from basic to moderate and finally we will be expert after completing this course. In this course you will understand the following topics : 
1. Amplitude Modulation and Demodulation
2. Angle Modulation and Demodulation
3. Spectra of AM and FM
4. Superheterodyne Receivers, Circuits for Analog Communication
5. Random Processes : Autocorrelation and power spectral density
6. Properties of white noise, filtering of random signals through LTI systems
7. Information theory : entropy, mutual information and channel capacity theorem

Analog Communication for 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

(Hindi) Communication Random Variable and Random Processes Course : GATE (ECE)

Unless you dive into the depth of the most difficult problem, you can't turn impossible into possible. 

Himanshu Sen

This course deals with basic concepts related to probability and also it discusses about the random variable and random process and some important numericals.

Probability or Stochaistic Process

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 proper explanation of probability, random process and Random variable for the analysis of signal in communication which are unpredictable in nature.

Probability and Random Processes

In this course is about complete digital communication and the topics which covered are 

 Sampling theorem,
Modulation,
PCM and it's noises,
 DPCM and DM,
Bandwidth ,
digital carrier schemes,
constellation diagrams,
summary.This Course is beneficial for  GATE (ECE) aspirants.

Lessons

20 lessons • 3h 58m

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Introduction of Syllabus (in Hindi)

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Random Variable (Part-1)(in Hindi)

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Random variable (Part-2)

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Random variable (Part-3)

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Random Variable (Part-4)

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Random variable (part-5)

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Random Variable (Part-6)

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Random Variable (Part-7)

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Random variable (Part-8)

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Random Variable (Part-9

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