Examples of Convolution 3.2. Graphical Examples Impulse Response of an Integrator circuit due to the unit impulse function Response of an integrator due.

Slides:



Advertisements
Similar presentations
Signals and Systems – Chapter 2
Advertisements

Section 3.4 Objectives: Find function values
Rectangular Function Impulse Function Continuous Time Systems 2.4 &2.6.
Leo Lam © Signals and Systems EE235 October 14 th Friday Online version.
Unit Hydrograph Reading: Sections , 7.5, 7.7,
Lect15EEE 2021 Systems Concepts Dr. Holbert March 19, 2008.
Lesson 3 Signals and systems Linear system. Meiling CHEN2 (1) Unit step function Shift a Linear system.
Laplace Transform Applications of the Laplace transform
TIME 2014 Technology in Mathematics Education July 1 st - 5 th 2014, Krems, Austria.
Time-Domain System Analysis M. J. Roberts - All Rights Reserved. Edited by Dr. Robert Akl 1.
Complex Frequency and the Laplace Transform
Signals and Systems Discrete Time Fourier Series.
Leo Lam © Signals and Systems EE235. Leo Lam © Convergence Two mathematicians are studying a convergent series. The first one says:
Systems: Definition Filter
Leo Lam © Signals and Systems EE235. Leo Lam © x squared equals 9 x squared plus 1 equals y Find value of y.
1.Definition of a function 2.Finding function values 3.Using the vertical line test.
Lesson 1.3 Read: Pages Page 38: #1-49 (EOO), #61-85 (EOO)
The Convolution Integral
Time-Domain Representations of LTI Systems
Copyright © 2007 Pearson Education, Inc. Slide 1-1.
ECE 8443 – Pattern Recognition EE 3512 – Signals: Continuous and Discrete Objectives: Convolution Definition Graphical Convolution Examples Properties.
Fundamentals of Electric Circuits Chapter 18 Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
Representation of CT Signals (Review)
Lecture 17: The Discrete Fourier Series Instructor: Dr. Ghazi Al Sukkar Dept. of Electrical Engineering The University of Jordan
Chapter 2 Time Domain Analysis of CT System Basil Hamed
Convolution Examples Ex2.9:
Kevin D. Donohue, University of Kentucky1 Pulse Response - First Order Circuits Unit Step functions, Pulse Sources, and SPICE.
Chapter 5 Laplace Transform
( II ) This property is known as “convolution” ( الإلتواء التفاف ) From Chapter 2, we have Proof is shown next Chapter 3.
1 ELEC 361/W: Midterm exam Solution: Fall 2005 Professor: A. Amer TA: M. Ghazal Q1: 1. True: According to the “Shifting property” of the FT 2. False: Causality.
EE 207 Dr. Adil Balghonaim Chapter 4 The Fourier Transform.
Alexander-Sadiku Fundamentals of Electric Circuits
Leo Lam © Signals and Systems EE235 Leo Lam.
Piecewise Functions. Definition of piecewise functions Piecewise functions are functions that are broken into pieces dependent upon the input. A piecewise.
Auditory Perception: 2: Linear Systems. Signals en Systems: To understand why the auditory system represents sounds in the way it does, we need to cover.
1 LTI Systems; Convolution September 4, 2000 EE 64, Section 1 ©Michael R. Gustafson II Pratt School of Engineering.
Description and Analysis of Systems Chapter 3. 03/06/06M. J. Roberts - All Rights Reserved2 Systems Systems have inputs and outputs Systems accept excitation.
Leo Lam © Signals and Systems EE235. Leo Lam © Today’s menu LTI System – Impulse response Lead in to Convolution.
Leo Lam © Signals and Systems EE235 Lecture 26.
Time Domain Representations of Linear Time-Invariant Systems
Birla Vishvakarma Mahavidyalaya Gujarat Technological University
Limits and Motion: The Area Problem Today’s Objective: I can calculate definite integrals using area.
Linear Constant-Coefficient Difference Equations
Second Shifting Theorem
Time Domain Analysis of Linear Systems Ch2
EE 309 Signal and Linear System Analysis
EKT 119 ELECTRIC CIRCUIT II
Signal Processing First
DNT Control Principle Steady-State Analysis DNT Control Principle.
Section C: Impulse & Momentum
Automatic Control(E.E- 412) Chapter 1 Laplace Transform Dr. Monji Mohamed Zaidi.
Signals and Systems EE235 Leo Lam ©
A plan for analyzing first-order circuits First, separate the energy storage elements from the rest of the circuit. (b) Next, replace the circuit.
Mechatronics Engineering
Signals and Systems EE235 Leo Lam ©
Signals and Systems EE235 Leo Lam Leo Lam ©
Chapter 3 Convolution Representation
Fundamentals of Electric Circuits Chapter 18
EKT 119 ELECTRIC CIRCUIT II
Counter Integrated Circuits (I.C.s)
Signals and Systems EE235 Leo Lam ©
The characteristics of actual input signals are a sudden shock, a sudden change, a constant velocity, and constant acceleration. The dynamic behavior of.
Linear Equations A linear first-order DE looks like Standard form is
Chapter 1: Linear Functions, Equations, and Inequalities
LECTURE 07: CONVOLUTION FOR CT SYSTEMS
[ includes endpoint ( doesn’t include endpoint
Linear and Nonlinear Systems of Equations
Linear and Nonlinear Systems of Equations
From Chapter 2, we have ( II ) Proof is shown next
Convolution sum & Integral
Presentation transcript:

Examples of Convolution 3.2

Graphical Examples Impulse Response of an Integrator circuit due to the unit impulse function Response of an integrator due to a unit step function Response of an Integrator circuit due to the unit ramp input Response of an integrator due to a rectangular pulse

Impulse Response of an Integrator =δ(t) 0 (τ)(τ) 0 (τ)(τ) interval of integration

Graphical Examples Impulse Response of an Integrator circuit due to the unit impulse function Response of an integrator due to a unit step function Response of an Integrator circuit due to the unit ramp input Response of an integrator due to a rectangular pulse

Response of an Integrator Due to a Unit Ramp Function =tu(t) Why is h(t)=u(t) ?

Response of an Integrator Due to a Unit Step Function =tu(t) Constant!

Graphical Illustration (t=-1) No area of intersection

Graphical Illustration (t=1)

Response of an Integrator Due to a Unit Step Function =tu(t) Unit step function is only 1 when the argument is greater than 0. It does not make sense to integrate all the way to infinity.

A system with rectangular impulse response δ(t) u(t) u(t-2)

Example (why not take advatage of linearity ? )

Focus on x 1 (t) δ(t)→h(t) δ(t+3)→h(t+3)

Understanding h(t-τ)

h(t-τ) when t=-1 h(τ) h(-1+τ) h(-1-τ)

Integration when t<0 h(t-τ) for t<0

h(t-τ) when t=0.5 h(τ) h(0.5+τ) h(0.5-τ)

Integration when 0<t<2 h(t-τ) for 0<t<2 (move to the right as t increases )

h(t-τ) when t=3.5 h(τ) h(3.5+τ)h(3.5-τ)

Integration when t>2 t t-2