Signals And Systems Basics To Advance 2023

Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 17.07 GB | Duration: 13h 27m
Classification of Signals ,Operations on Signals,Z Transform,Laplace Transform,Fourier Transform ,State Space Analysis
What you'll learn
Analyze various types of signals and systems

Analyze continuous time and discrete time systems in time domain
Analyze continuous time and discrete time signals using Fourier Series and Fourier Transform
Analyze continuous time and discrete time signals using Fourier Series and Fourier Transform
Requirements
Concepts of Diifferetiation and Integration
Description
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 and its generalizations, which are explored in detail. Filtering and filter design, modulation, and sampling for both analog and digital systems, as well as exposition and demonstration of the basic concepts of feedback systems for both analog and digital systems, are discussed and illustrated.Signals and systems is in Second year Electronics and telecommunication engineering Course Objectives:1. To introduce students to the idea of signal andsystem analysis and characterization in time andfrequency domain.2. To provide foundation of signal and system conceptsto areas like communication, control and signalCourse outcomes are :students will Be able to classify different signals such as the unit step, ramp, impulse function, sinusoidal signals and complex exponentials.Be able to classify signals as continuous vs discrete-time, periodic vs non-periodic, energy vs power signal, odd vs even, conjugate symmetric vs anti-symmetricBe able to Perform mathematical operations on signals.Be able to compute the Fourier Series and Fourier Transform of a signalBe able to compute the Z transform and Laplace Transform of a signal.Be able to understand state space analysis and realize discrete time systems.Reference books: V krishnaveni,A Rajeshwari,Signals and Systems ,Wiley indiaSimon haykin and Barry van veen,Signals and Systems ,John Wiley and sons.
Overview
Section 1: Introduction to Signals and Systems
Lecture 1 Analysis of Different type of signals- Even and Odd signals
Lecture 2 Lecture 2 :Energy and Power Signals
Lecture 3 Lecture 3: Periodic and Non Periodic Signals
Lecture 4 Lecture 4:Operation on Signals (Continuos Time Signals)
Lecture 5 Lecture 5:Operation on Signals (Disctrete type signals)
Lecture 6 Lecture 6: Classification of systems: Continuos time systems
Lecture 7 Lecture 7: Classification of Discrete type systems
Section 2: Unit 2: Time Domain analysis of Continous and Discrete time systems
Lecture 8 Lecture 8: Contionuos time systems: Convolution Integral
Lecture 9 Lecture 9: Discrete time systems: Convolution Sum
Lecture 10 LEcture 10: Convolution Sum: Solved Examples
Section 3: Unit 3: Frequency domain analysis of Continous and Discrete time systems
Lecture 11 Lecture 11: Laplace Transform Definition and Problems
Lecture 12 Lecture 12: Properties of Laplace Transform
Lecture 13 LEcture 13: Problems on Laplace Transform
Lecture 14 LEcture 14: Unilateral LT, Initial and Final Value Theorem and Solution of Diff.
Lecture 15 LEcture 15:Inv LT, Causality and Stability of the systems
Lecture 16 Lecture 16:Fourier Series CTFS -Trignometric Fourier Series
Lecture 17 Lecture 17:Fourier Series CTFS Exponential FS
Lecture 18 Lecture 18:CTFS Trignometric FS-full wave rectified sine wave
Lecture 19 Lecture 19:Discrete time Fourier Sereis
Lecture 20 LEcture 20: Continous Fourier Transform
Lecture 21 Lecture 21:Properties of CTFT
Lecture 22 Lecture 22: Discrete Time Fourier Transform
Section 4: Unit 4: Z Transform
Lecture 23 Lecture 23: Z Transform with some Examples
Lecture 24 Lecture 24:Properties of Z Transform
Lecture 25 Lecture 25: Problems on Z Transform and its properties.
Lecture 26 Lecture 26: Inverse Z Transform -I
Lecture 27 Lecture 27: Inverse Z Transform -II
Lecture 28 LEcture 28: Unilateral Z Transform
Lecture 29 Lecture 29: Analysis of LTI systems: Causality and Stability using Z Transform
Lecture 30 Lecture 30:Z transform - Transfer Function and Pole Zero plot
Section 5: Unit 5: State Space analysis
Lecture 31 Lecture 31:Direct form I realization for Discrete time Systems
Lecture 32 Lcecture 32:Direct form II,Cascade and parallel realization for DT systems
Lecture 33 LEcture 33: State Space analysis for DT systems
Lecture 34 LEcture 34: State space Analysis for DT systems II
SE EXTC /Electronics engineering students

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