Signals and Systems Lecture 3: Sinusoids. 2 Today's lecture −Sinusoidal signals −Review of the Sine and Cosine Functions  Examples −Basic Trigonometric.

Slides:



Advertisements
Similar presentations
Math Review with Matlab:
Advertisements

REVIEW OF COMPLEX NUMBERS
Chapter 2 Discrete-time signals and systems
Lecture 15 Orthogonal Functions Fourier Series. LGA mean daily temperature time series is there a global warming signal?
A brief journey into Section 4.5a HW: p , 4, 5, 9, 13, 25, 27.
Trig – Section 4 Graphing Sine and Cosine Objectives: To graph sine and cosine curves To find amplitude, period and phase shifts.
Graphs of Sine Curves Graph Transformations of the Sine Function Graph Transformations of the Cosine Function Determine the Amplitude and Period of Sinusoidal.
Professor Ahmadi and Robert Proie
 Trigonometric of any Angle Pg. 501 – 514  LEARNING OBJECTIVES; Use the definitions of trigonometric functions of any angle.  Use the signs of the trigonometric.
Chapter 3 The Fourier Series EE 207 Adil S. Balghonaim.
 A sinusoids is signal that has the form of the sine or cosine function.  Consider the sinusoidal voltage.
Math Review with Matlab:
Aim: What is the transformation of trig functions? Do Now: HW: Handout Graph: y = 2 sin x and y = 2 sin x + 1, 0 ≤ x ≤ 2π on the same set of axes.
The Basic Elements and Phasors
Review of Frequency Domain
MM3FC Mathematical Modeling 3 LECTURE 1
Lesson 18 Phasors & Complex Numbers in AC
Fourier Series. is the “fundamental frequency” Fourier Series is the “fundamental frequency”
1 Prof. Nizamettin AYDIN Digital Signal Processing.
Motivation Music as a combination of sounds at different frequencies
1 Prof. Nizamettin AYDIN Advanced Digital Signal Processing 30/09/14.
Complex Numbers, Sinusoidal Sources & Phasors ELEC 308 Elements of Electrical Engineering Dr. Ron Hayne Images Courtesy of Allan Hambley and Prentice-Hall.
EE2010 Fundamentals of Electric Circuits Lecture 13 Sinusoidal sources and the concept of phasor in circuit analysis.
Notes Over 14.5 Writing Trigonometric Functions Write a function for the sinusoid. Positive Sine graph No vertical or horizontal shifts Amplitude: Period:
ECE 8443 – Pattern Recognition ECE 3163 – Signals and Systems Objectives: Useful Building Blocks Time-Shifting of Signals Derivatives Sampling (Introduction)
Lecture 3 MATLAB LABORATORY 3. Spectrum Representation Definition: A spectrum is a graphical representation of the frequency content of a signal. Formulae:
Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)
The V  I Relationship for a Resistor Let the current through the resistor be a sinusoidal given as Is also sinusoidal with amplitude amplitudeAnd.
Fundamentals of Electric Circuits Chapter 9 Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
Lecture 16: Sinusoidal Sources and Phasors Nilsson , App. B ENG17 : Circuits I Spring May 21, 2015.
Copyright ©2011 by Pearson Education, Inc. publishing as Pearson [imprint] Introductory Circuit Analysis, 12/e Boylestad Chapter 14 The Basic Elements.
1 Fourier Representations of Signals & Linear Time-Invariant Systems Chapter 3.
Lecture 13: Complex Numbers and Sinusoidal Analysis Nilsson & Riedel Appendix B, ENG17 (Sec. 2): Circuits I Spring May 13, 2014.
Why We Use Three Different, Equivalent Forms of the Fourier Series.
1 Prof. Nizamettin AYDIN Digital Signal Processing.
Basic Operation on Signals Continuous-Time Signals.
Lecture 3: Complex Exponentials; n th root of a complex number; continuous-time sinusoids.
Fourier series: Eigenfunction Approach
Fourier Series Kamen and Heck.
1 ECE 3336 Introduction to Circuits & Electronics Note Set #8 Phasors Spring 2013 TUE&TH 5:30-7:00 pm Dr. Wanda Wosik.
Signals & Systems Lecture 13: Chapter 3 Spectrum Representation.
Lecture 21 Review: Second order electrical circuits Series RLC circuit Parallel RLC circuit Second order circuit natural response Sinusoidal signals and.
CH#3 Fourier Series and Transform
Chapter 14 – Basic Elements and Phasors Lecture 17 by Moeen Ghiyas 13/12/
Math Review Towards Fourier Transform
Digital Signal Processing – Chapter 10 Fourier Analysis of Discrete-Time Signals and Systems Dr. Ahmed Samir Fahmy Associate Professor Systems and Biomedical.
04/03/2015 Hafiz Zaheer Hussain.
Signals and Systems Lecture 6: Spectral Representation.
Digital Signal Processing
ELE 102/102Dept of E&E MIT Manipal Phasor Versus Vector: Phasor – defined with respect to time. Vector – defined with respect to space A phasor is a graphical.
Section 4.5 Graphs of Sine and Cosine Functions. The Graph of y=sin x.
Leo Lam © Signals and Systems EE235 Leo Lam.
12.7 Graphing Trigonometric Functions Day 1: Sine and Cosine.
Chapter 2. READING ASSIGNMENTS This Lecture: Chapter 2, pp Appendix A: Complex Numbers Appendix B: MATLAB or Labview Chapter 1: Introduction.
CH#3 Fourier Series and Transform 1 st semester King Saud University College of Applied studies and Community Service 1301CT By: Nour Alhariqi.
1 EENG224 Chapter 9 Complex Numbers and Phasors Huseyin Bilgekul EENG224 Circuit Theory II Department of Electrical and Electronic Engineering Eastern.
DSP-First, 2/e LECTURE #3 Complex Exponentials and Complex Numbers.
Sinusoids.
Periodic Signals Prof. Brian L. Evans
LECTURE #3 Complex Exponentials & Complex Numbers
Lecture 5 Spectrum Representation
LECTURE #2 Phase & Time-Shift Delay & Attenuation
Alexander-Sadiku Fundamentals of Electric Circuits
2. 2 The V-I Relationship for a Resistor Let the current through the resistor be a sinusoidal given as Is also sinusoidal with amplitude amplitude.
Lecture 5: Sampling of Continuous-Time Sinusoids Sections 1.6
Graphs of Sine and Cosine: Sinusoids
Section 4.5 Graphs of Sine and Cosine Functions
Chapter 9 – Sinusoids and Phasors
Objective: Convert equations from rectangular to polar form and vice versa. Warm up 1. Plot points. a. b.
Presentation transcript:

Signals and Systems Lecture 3: Sinusoids

2 Today's lecture −Sinusoidal signals −Review of the Sine and Cosine Functions  Examples −Basic Trigonometric Identities −Relation of Frequency to Period −Phase Shift to Time Shift  Example Sampling and Plotting Sinusoids −Complex Exponentials and Phasors −Complex Number Representation −Addition of Complex Numbers  Mathematical Addition  Graphical Addition

3

4 Fig. 2-6: x(t) = 20cos(2π(40)t - 0.4π)

5 Sinusoidal signal : x(t) = 10cos(2π(440)t - 0.4π)

6 MATLAB Demo of Tuning Fork −% TuningFork −t = 0:.0001:.01; −y = 10*cos(2*pi*440*t-0.4*pi); −plot(t,y) −grid −pause; −t = 0:.0001:1; −y = 10*cos(2*pi*440*t-0.4*pi); −sound (y)

7 Basic Properties of sine and cosine functions Equivalence sin  = cos(  -  /2) or cos  = sin(  +  /2)y Periodicity cos(  + 2  k) = cos , k = integer Evenness of cosine cos(-  ) = cos  Oddness of sine sin(-  ) = - sin  Zeros of sine sin (  k) = 0, k = integer Ones of cosine cos (2  k) = 1, k = integer Minus ones of cosine cos [2  (k + ½)) = -1, k = integer

8 Some basic trigonometric identities NumberEquation 1 sin 2  + cos 2  = 1 2 cos2  = cos 2  - sin 2  3 sin2  = 2 sin  cos  4sin (α + β) = sinα cosβ + cosα sinβ 5cos (α + β) = cosα cosβ + sinα sinβ

9 Relation of Frequency to Period X(t)=A cos(  0 t+  ) x(t + T 0 ) = x(t) A cos(  0 (t + T 0 ) +  )= A cos(  0 t+  ) cos(  0 t +  0 T 0 +  )= cos(  0 t+  ) Since cosine function has a period of 2π  0 T 0 = 2π 2πf 0 T 0 = 2π T 0 = 1/ f 0

10 Fig 2-7: x(t) = 5cos(2πf o t) for different values of f o

11 Phase Shift and Time Shift x 0 (t - t 1 ) = A cos(  0 (t - t 1 ) = A cos (  0 t +  ) cos(  0 t -  0 t 1 )= cos(  0 t +  ) t 1 = -  /  0 = -  / 2πf 0 Phase Shift is negative when time-shift is positive  = - 2πf 0 t 1 = - 2πt 1 /T 0

12 Phase Shift and Time Shift

13 Phase Shift is Ambiguous

14 −X(t) =Acos(wt +Φ)

15 Sinusoid from a Plot

16 Represent following graph in form of X(t) =Acos(wt +Φ)

17 −A=6 −T =6 −f=1/6 −tm=2; −Φ=-wtm −Φ=-2*pi*f*tm −-2pi/3; − X(t)=6cos(pi/3 -2pi/3)

18 Sampling and Plotting Sinusoids

19 Effect of Sampling Period

20 Sample Spacing

21 Complex Numbers

22 Plot Complex Numbers

23 Complex Addition = Vector Addition

24 Polar Form

25 Polar versus Rectangular

26 Practice

27 Solution

28 Complex Conjugation