Signals and Systems : From Basics
Signals and Systems : From Basics, available at $49.99, has an average rating of 3.8, with 204 lectures, based on 15 reviews, and has 116 subscribers.
You will learn about You learn about signals and systems representations/classifications. Also you learn about the time and frequency domain analysis of continuous time signals with Fourier series, Fourier transforms, Z-Transform and Laplace Transform Also you learn about Sampling Theorem This course is ideal for individuals who are University Students or GATE EC, EE, IN students It is particularly useful for University Students or GATE EC, EE, IN students.
Enroll now: Signals and Systems : From Basics
Summary
Title: Signals and Systems : From Basics
Price: $49.99
Average Rating: 3.8
Number of Lectures: 204
Number of Published Lectures: 204
Number of Curriculum Items: 204
Number of Published Curriculum Objects: 204
Original Price: ₹7,900
Quality Status: approved
Status: Live
What You Will Learn
- You learn about signals and systems representations/classifications.
- Also you learn about the time and frequency domain analysis of continuous time signals with Fourier series, Fourier transforms, Z-Transform and Laplace Transform
- Also you learn about Sampling Theorem
Who Should Attend
- University Students
- GATE EC, EE, IN students
Target Audiences
- University Students
- GATE EC, EE, IN students
Signals and Systems is an introduction to analog and digital signal processing, a topic that forms an integral part of engineering systems in many diverse areas, including seismic data processing, communications, speech processing, image processing, defense electronics, consumer electronics, and consumer products.
The course presents and integrates the basic concepts for both continuous-time and discrete-time signals and systems. Signal and system representations are developed for both time and frequency domains. These representations are related through the Fourier transform, Fourier Series, Laplace Transform and Z-Transform which are explored in detail.
Course Curriculum
Chapter 1: Introduction to Signals
Lecture 1: Basic discrete time signals part – 1
Lecture 2: Basic discrete time signals part – 2
Lecture 3: Accumulation and First difference of a discrete time signal
Lecture 4: Time scaling of a discrete time signal part – 1
Lecture 5: Time scaling of a discrete time signal part – 2
Lecture 6: Time scaling of a unit impulse
Lecture 7: Problem on discrete time shifting, scaling and reversal
Lecture 8: Discrete time convolution part – 1
Lecture 9: Discrete time convolution part – 2
Lecture 10: Energy and power of discrete time aperiodic signal part – 1
Lecture 11: Energy and power of discrete time aperiodic signal part – 2
Lecture 12: Discrete time periodic signals part – 1
Lecture 13: Discrete time periodic signals part – 2
Lecture 14: Energy and power of discrete time periodic signal
Lecture 15: Power of a discrete time sinusoidal signal
Lecture 16: Basic continuous time signals part – 1
Lecture 17: Basic continuous time signals part – 2
Lecture 18: Signal transformations
Lecture 19: Identifying the relationship between two signals
Lecture 20: Properties of unit impulse
Lecture 21: Convolution part – 1
Lecture 22: Convolution part – 2
Lecture 23: Convolution part – 3
Lecture 24: Convolution part – 4
Lecture 25: Representation of a staircase signal using unit step signals
Lecture 26: Representation of a triangular signal using unit ramp signals
Lecture 27: Representation of a signal using unit step and ramp signals
Lecture 28: even signal, odd signal, conjugate symmetric signal, conjugate antisymmetric sig
Lecture 29: Finding period and fundamental frequency of a signal which is sum of sinusoids
Lecture 30: Energy and Power for periodic and aperiodic signals
Lecture 31: Example Problems on energy and power of a aperiodic signal
Lecture 32: Example Problem on finding RMS value of a periodic signal
Lecture 33: Power of a continuous time sinusoidal signal
Lecture 34: Example Problem on periodic signals
Lecture 35: Example Problem
Lecture 36: Example Problem on Energy
Lecture 37: Example Problem on Energy
Lecture 38: Example Problem
Chapter 2: Laplace Transform
Lecture 1: Laplace transform of a decaying exponential signal
Lecture 2: LT and ROC of a right sided signal, part – 1
Lecture 3: LT and ROC of a right sided signal, part – 2
Lecture 4: LT and ROC of a left sided signal
Lecture 5: LT and ROC of a two sided signal
Lecture 6: Properties of ROC
Lecture 7: LT of staircase signals (short cut)
Lecture 8: LT of a triangular signal (short cut)
Lecture 9: LT of a trapezoid signal (shortcut)
Lecture 10: Example Problem
Lecture 11: Example Problem based on time shifting property
Lecture 12: Laplace Transform of a causal periodic signal
Lecture 13: Example Problem on Laplace Transform of a causal periodic signal
Lecture 14: Time scaling and time reversal properties
Lecture 15: Shifting in the S – domain property and conjugation property
Lecture 16: Convolution in time domain property
Lecture 17: Differentiation in S – domain property
Lecture 18: Integration in S – domain property
Lecture 19: Time differentiation, time integration and multiplication in time domain
Lecture 20: initial value theorem and final value theorem
Lecture 21: Standard Laplace transforms
Lecture 22: Relationship between ROC of LT and existence of FT
Lecture 23: Example Problem
Lecture 24: Example Problem
Lecture 25: Example Problem on frequency integration property
Lecture 26: Difference between unilateral LT and bilateral LT
Lecture 27: Properties of unilateral LT
Chapter 3: Z – TRANSFORM
Lecture 1: Relationship between Z-Transform and Laplace Transform
Lecture 2: Important points on variable Z.
Lecture 3: Relationship between S-plane and Z-plane.
Lecture 4: Z-Transform of a^n u(n)
Lecture 5: Z-Transform of cos (ωn)u(n), sin(ωn)u(n)
Lecture 6: Z- Transform of a^n u(-n-1)
Lecture 7: Z – Transform of some standard signals
Lecture 8: ROC of a Right sided signal
Lecture 9: ROC of a Left sided signal
Lecture 10: Z – Tranform and ROC of a two sided signal
Lecture 11: Z – Transform and ROC of a double exponential
Lecture 12: ROC of a Two sided signal
Lecture 13: Properties of ROC
Lecture 14: Z – Transform of Unit impulse
Lecture 15: Time shifting property of Z – Transform | Part 1
Lecture 16: Time shifting property of Z – Transform | Part 2
Lecture 17: Convolution in time domain property of Z – Transform | Part 1
Lecture 18: Convolution in time domain property of Z – Transform | Part 2
Lecture 19: Accumulation property of Z – Transform
Lecture 20: Differentiation in Z – domain property
Lecture 21: Scaling in Z – domain property
Lecture 22: Time reversal, Conjugation and Time expansion properties
Lecture 23: Initial value theorem
Lecture 24: Final value theorem
Lecture 25: Problem on Inverse Z – Transform
Lecture 26: Problem on Inverse Z – Transform
Lecture 27: Problem on Inverse Z – Transform
Lecture 28: Problem on Inverse Z – Transform
Lecture 29: Problem on Inverse Z – Transform
Lecture 30: Example Problem on ROC
Lecture 31: Example Problem on First difference
Lecture 32: Example Problem on Time shifting and Convolution
Instructors
-
Koti Reddy
GATE ECE Faculty
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 1 votes
- 3 stars: 2 votes
- 4 stars: 2 votes
- 5 stars: 8 votes
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