Periodicity. Discrete-Time Sinusoids. Continuous-time Sinusoids. Discrete-time Sinusoids

Similar documents
Classification of Discrete-Time Systems. System Properties. Terminology: Implication. Terminology: Equivalence

Digital Signal Processing

Discrete-Time Signals and Systems. The z-transform and Its Application. The Direct z-transform. Region of Convergence. Reference: Sections

Notes on the Periodically Forced Harmonic Oscillator

Oscillations. Simple Harmonic Motion of a Mass on a Spring The equation of motion for a mass m is attached to a spring of constant k is

3 + 4i 2 + 3i. 3 4i Fig 1b

Linear and Nonlinear Oscillators (Lecture 2)

Discrete-Time Signals and Systems. Frequency Domain Analysis of LTI Systems. The Frequency Response Function. The Frequency Response Function

1 Simple Harmonic Oscillator

16.362: Signals and Systems: 1.0

( ) ( ) numerically using the DFT. The DTFT is defined. [ ]e. [ ] = x n. [ ]e j 2π Fn and the DFT is defined by X k. [ ]e j 2π kn/n with N = 5.

Chapter 10: Sinusoidal Steady-State Analysis

Oscillatory Motion and Wave Motion

Fourier Analysis of Signals Using the DFT

CMPT 318: Lecture 5 Complex Exponentials, Spectrum Representation

Definition of Discrete-Time Fourier Transform (DTFT)

Signals and Systems: Introduction

MATH 135: COMPLEX NUMBERS

Discrete-Time Signals: Time-Domain Representation

Unstable Oscillations!

Fourier Series and Fourier Transforms

EE Homework 13 - Solutions

Discrete-Time Signals: Time-Domain Representation

Math 216 Second Midterm 20 March, 2017

1 Phasors and Alternating Currents

Dispersion (3A) 1-D Dispersion. Young W. Lim 10/15/13

Frequency-Domain C/S of LTI Systems

4. Complex Oscillations

Chapter 15 - Oscillations

PREMED COURSE, 14/08/2015 OSCILLATIONS

Discrete Time Signals and Systems Time-frequency Analysis. Gloria Menegaz

EE 313 Linear Systems and Signals The University of Texas at Austin. Solution Set for Homework #1 on Sinusoidal Signals

Lecture 8: Discrete-Time Signals and Systems Dr.-Ing. Sudchai Boonto

Damped Oscillation Solution

Clicker Question. Is the following equation a solution to the wave equation: y(x,t)=a sin(kx-ωt) (a) yes (b) no

Mechanics Oscillations Simple Harmonic Motion

Discrete-time Signals and Systems in

Frequency Response of Linear Time Invariant Systems

= 5 0 cos 0 = 1. = lim = 1. = 5 1/ 1 2 cos. QUESTION 1 Compute the following limits: (iii) lim 5 1/x cos. (10 marks) Solution Let y = 1 x.

Sinusoids. Amplitude and Magnitude. Phase and Period. CMPT 889: Lecture 2 Sinusoids, Complex Exponentials, Spectrum Representation

Fourier Transform with Rotations on Circles and Ellipses in Signal and Image Processing

Transform Solutions to LTI Systems Part 3

MAT 275 Laboratory 6 Forced Equations and Resonance

CMPT 889: Lecture 2 Sinusoids, Complex Exponentials, Spectrum Representation

Review of Frequency Domain Fourier Series: Continuous periodic frequency components

Laboratory 10 Forced Equations and Resonance

ECE 301 Fall 2011 Division 1. Homework 1 Solutions.

Symmetries 2 - Rotations in Space

Review of Discrete-Time System

Vibrations: Second Order Systems with One Degree of Freedom, Free Response

Lectures on Spectra of Discrete-Time Signals

Fourier Analysis Overview (0A)

Phasor Young Won Lim 05/19/2015

4.5. Applications of Trigonometry to Waves. Introduction. Prerequisites. Learning Outcomes

Old Exams - Questions Ch-16

Signals and Systems. Problem Set: The z-transform and DT Fourier Transform

The Discrete-Time Fourier

Digital Signal Octave Codes (0A)

Each problem is worth 34 points. 1. Harmonic Oscillator Consider the Hamiltonian for a simple harmonic oscillator. 2ml 2 0. d 2

Lecture 4: Oscillators to Waves

2.3 Oscillation. The harmonic oscillator equation is the differential equation. d 2 y dt 2 r y (r > 0). Its solutions have the form

Subsequences and the Bolzano-Weierstrass Theorem

Digital Signal Octave Codes (0A)

Digital Signal Octave Codes (0A)

Test #2 Math 2250 Summer 2003

Solution Set Five. 2 Problem #2: The Pendulum of Doom Equation of Motion Simple Pendulum Limit Visualization...

HW 3 Solution Key. Classical Mechanics I HW # 3 Solution Key

Digital Signal Octave Codes (0A)

Analog vs. discrete signals

Discrete-Time Signals and Systems. Efficient Computation of the DFT: FFT Algorithms. Analog-to-Digital Conversion. Sampling Process.

CHECKLIST. r r. Newton s Second Law. natural frequency ω o (rad.s -1 ) (Eq ) a03/p1/waves/waves doc 9:19 AM 29/03/05 1

PHYSICS 110A : CLASSICAL MECHANICS HW 2 SOLUTIONS. Here is a sketch of the potential with A = 1, R = 1, and S = 1. From the plot we can see

Continuous-time Signals. (AKA analog signals)

Rational Implementation of Distributed Delay Using Extended Bilinear Transformations

L = 1 2 a(q) q2 V (q).

ECE 301 Fall 2010 Division 2 Homework 10 Solutions. { 1, if 2n t < 2n + 1, for any integer n, x(t) = 0, if 2n 1 t < 2n, for any integer n.

This is the number of cycles per unit time, and its units are, for example,

SOLVING DIFFERENTIAL EQUATIONS. Amir Asif. Department of Computer Science and Engineering York University, Toronto, ON M3J1P3

Generalizing the DTFT!

Chapter 2 Random Processes

MAT 275 Laboratory 6 Forced Equations and Resonance

Physics 576 Stellar Astrophysics Prof. James Buckley. Lecture 2 Radiation

MODULE I. Transient Response:

Damped harmonic motion

Chapter 14 (Oscillations) Key concept: Downloaded from

Undetermined Coefficents, Resonance, Applications

Fourier Series and Transforms

EDISP (NWL2) (English) Digital Signal Processing Transform, FT, DFT. March 11, 2015

Physics Homework 1

Math 592 Spring Applying the identity sin(u) + sin(v) = 2 sin ( ) ( sin(f 1 2πt + ϕ) + sin(f 2 2πt + µ) = f1 + f 2 2 sin 2.

Signals, Systems & Inference Alan V. Oppenheim & George C. Verghese c Chapter 2 Solutions

KEELE UNIVERSITY PHYSICS/ASTROPHYSICS MODULE PHY OSCILLATIONS AND WAVES PRACTICE EXAM

Digital Signal Octave Codes (0A)

BME 50500: Image and Signal Processing in Biomedicine. Lecture 2: Discrete Fourier Transform CCNY

1 Pushing your Friend on a Swing

Module 25: Outline Resonance & Resonance Driven & LRC Circuits Circuits 2

Standing Waves If the same type of waves move through a common region and their frequencies, f, are the same then so are their wavelengths, λ.

X. Chen More on Sampling

Harman Outline 1A CENG 5131

Group & Phase Velocities (2A)

Transcription:

Periodicity Professor Deepa Kundur Recall if a signal x(t) is periodic, then there exists a T > 0 such that x(t) = x(t + T ) University of Toronto If no T > 0 can be found, then x(t) is non-periodic. Professor Deepa Kundur (University of Toronto) 1 / 23 Professor Deepa Kundur (University of Toronto) 2 / 23 Continuous-time Sinusoids To find the period T > 0 of a general continuous-time sinusoid x(t) = A cos(ωt + φ): x(t) = x(t + T ) A cos(ωt + φ) = A cos(ω(t + T ) + φ) A cos(ωt + φ + 2πk) = A cos(ωt + φ + ωt ) 2πk = ωt T ω where k Z. Note: when k is the same sign as ω, T > 0. Therefore, there exists a T > 0 such that x(t) = x(t + T ) and therefore x(t) is periodic. Discrete-time Sinusoids To find the integer period N > 0 (i.e., (N Z + ) of a general discrete-time sinusoid x[n] = A cos(n + φ): where k Z. x[n] = x[n + N] A cos(n + φ) = A cos((n + N) + φ) A cos(n + φ + 2πk) = A cos(n + φ + N) 2πk = N Note: there may not exist a k Z such that 2πk is an integer. Professor Deepa Kundur (University of Toronto) 3 / 23 Professor Deepa Kundur (University of Toronto) 4 / 23

Discrete-time Sinusoids Example i: = 37 11 π Example ii: = 2 37 11 π = 22 37 k N 0 = 22 k = 22 for k = 37; x[n] is periodic. 37 N = 2πk 2 = πk N Z + does not exist for any k Z; x[n] is non-periodic. Example iii: = 2π N = 2πk 2π = 2k N Z + does not exist for any k Z; x[n] is not periodic. Professor Deepa Kundur (University of Toronto) 5 / 23 Discrete-time Sinusoids N = 2π k N = π 2k N }{{} RATIONAL Therefore, a discrete-time sinusoid is periodic if its radian frequency is a rational multiple of π. Otherwise, the discrete-time sinusoid is non-periodic. Professor Deepa Kundur (University of Toronto) / 23 Example 1: = π/ = π 1 x[n] = cos ( πn ) π 1 = 12k N 0 = 12 for k = 1 The fundamental period is 12 which corresponds to k = 1 envelope cycles. ENVELOPE CYCLES Professor Deepa Kundur (University of Toronto) 7 / 23 Professor Deepa Kundur (University of Toronto) 8 / 23

Example 2: = 8π/31 = π 8 31 x[n] = cos ( ) 8πn 31 π 8 31 N 0 = 31 for k = 4 = 31 4 k The fundamental period is 31 which corresponds to k = 4 envelope cycles. ENVELOPE CYCLES Professor Deepa Kundur (University of Toronto) 9 / 23 Professor Deepa Kundur (University of Toronto) 10 / 23 Example 3: = 1/ = π 1 π ( n x[n] = cos ) N = 2πk 1 = 12πk N Z + does not exist for any k Z; x[n] is non-periodic. NOT PERIODIC Professor Deepa Kundur (University of Toronto) 11 / 23 Professor Deepa Kundur (University of Toronto) 12 / 23

Continuous-Time Sinusoids: Frequency and Rate of ω smaller x(t) = A cos(ωt + φ) T = 2π ω = 1 f Rate of oscillation increases as ω increases (or T decreases). Professor Deepa Kundur (University of Toronto) 13 / 23 Professor Deepa Kundur (University of Toronto) 14 / 23 ω larger, rate of oscillation higher Continuous-Time Sinusoids: Frequency and Rate of Also, note that x 1 (t) x 2 (t) for all t for when ω 1 ω 2. x 1 (t) = A cos(ω 1 t + φ) and x 2 (t) = A cos(ω 2 t + φ) Professor Deepa Kundur (University of Toronto) 15 / 23 Professor Deepa Kundur (University of Toronto) 1 / 23

: Frequency and Rate of MINIMUM OSCILLATION x[n] = A cos(n + φ) Rate of oscillation increases as increases UP TO A POINT then decreases again and then increases again and then decreases again.... MAXIMUM OSCILLATION MINIMUM OSCILLATION Professor Deepa Kundur (University of Toronto) 17 / 23 Professor Deepa Kundur (University of Toronto) 18 / 23 : Frequency and Rate of : Frequency and Rate of Let x[n] = A cos(n + φ) x 1 [n] = A cos( 1 n + φ) and x 2 [n] = A cos( 2 n + φ) and 2 = 1 + 2πk where k Z: Discrete-time sinusoids repeat as increases! x 2 [n] = A cos( 2 n + φ) = A cos(( 1 + 2πk)n + φ) = A cos( 1 n + 2πkn + φ) = A cos( 1 n + φ) = x 1 [n] Professor Deepa Kundur (University of Toronto) 19 / 23 Professor Deepa Kundur (University of Toronto) 20 / 23

Professor Deepa Kundur (University of Toronto) 21 / 23 Professor Deepa Kundur (University of Toronto) 22 / 23 Discete-Time Sinusoids: Frequency and Rate of x[n] = A cos(n + φ) can be considered a sampled version of x(t) = A cos(t + φ) at integer time instants. As increases, the samples miss the faster oscillatory behavior. Professor Deepa Kundur (University of Toronto) 23 / 23