Overview
 Videos 80
 Duration 8:44:49
 Branch ECE
 Language English
Course Description
The stochastic Process gives a basic understanding of random processes and their characteristics along with the response of linear timeinvariant systems. Further, its study is essential for communication and signal processing areas.
Recommended For
B.E/B.Tech Electronics and Communication Engineering
University
Learning Outcomes
 Basic understanding of the random process and its characteristics along with the response of linear timeinvariant systems. Further, its study is essential for communication and signal processing areas.
Curriculum


UNIT 4 Stochastic processes Introduction: Signals & Stochastic processes Introduction part 1, Signals & Stochastic processes Introduction part 20:19:57



UNIT 4.x PREREQUISITES: PREREQUISITES FOR STOCHASTIC (RANDOM) PROCESS, What is a Random Variable, What is a Random Variable part 1, Probability distribution Function and Properties of Distribution Function, Expression for distribution function, Plot of distribution Function, Probability Density Function, Numerical Example for density function, PREREQUISITES FOR STOCHASTIC (RANDOM) PROCESS, OPERATIONS ON, Moments, Moments about the Mean Value Part 1, Moments about the Mean Value Part 2, Moments about the Mean Value Part 3, Moments about the Mean Value Part 41:59:38



UNIT 4.1 Random ProcessesTemporal Characteristics: Random processes temporal characteristics, Random Process Concept, Classification of Processes, CRP & DRP & CRS & DRS, Deterministic and Nondeterministic Processes, Distribution and Density Functions, Concept of Stationarity First Order Stationarity, Second Order and WideSense Stationarity, (NOrder) and StrictSense Stationarity, Concept of Statistical Independence, Time Averages, Ergodicity, MeanErgodic, Correlation Ergodic1:26:24



UNIT 4.2 Autocorrelation Function: Autocorrelation Function (ACF), Properties Of ACF Part 1, Properties Of ACF Part 2, Cross Correlation Function (CFF), Properties Of CCF, Covariance Functions part 1, Covariance Functions part 2, Gaussian Random Process part 1, Gaussian Random Process part 21:14:40



UNIT 4.3 Poisson Random Process: Poisson Random Process part 1, Poisson Random Process part 2, Random Signal Part 1, Random Signal Part 2, Mean Value of System Response, Meansquared Value of System Response, Autocorrelation Function of Response, CrossCorrelation Of Functions Of Input And Output, Problem 1, Problem 21:26:21



UNIT 5.1 Random ProcessesSpectral Characteristics: Random Processes, Power Spectrum & its Properties  part 1, Power Spectrum & its Properties  part 2, Properties of PDS part 1, Properties of PDS part 2, Properties of PDS part 3, Properties of PDS part 4, The CrossPower Spectrum Density (CPSD)1:16:18



UNIT 5.2 Properties of CPSD: Properties of CPSD, Relationship between CPSD & CCF part 1, Relationship between CPSD & CCF part 2, Spectral Characteristics of System Response, Power Density Spectrum of Response, CrossPower Density Spectrums of Input and Output, Autocorrelation function, CrossPower Spectrum Density1:01:31

Instructor
Mr. V.Rama Krishna Sharma M.Tech, (Ph. D)
Rama Krishna is currently working as an associate professor in the Department of Electronics & Communications Engineering at Sreenidhi Institute of Science & Technology, Ghatkesar, Hyderabad. He has more than a decade of teaching experience. He holds a master's degree in the specialization of Wireless Communications and also in the pursuit of a Doctorate in the area of Communications Engineering. He delivered several guest lectures in reputed engineering colleges. He is a member of the International Association of Engineers (Hong Kong) and also a life member of the Indian Society of Technical Education.