Lecture Notes 4.3 Sine Waves.Pdf

Total Page:16

File Type:pdf, Size:1020Kb

Lecture Notes 4.3 Sine Waves.Pdf 4.3 The Sine Wave The sine function has domain the set of all real numbers: (−∞; 1) but the range is just [−1; 1] since all y-coordinates on the unit circle must be between −1 and 1. Similarly, the domain of cosine is (−∞; 1) and the range is [−1; 1]: 4.3.1 Symmetries of sine and cosine Let's consider the definition of sine and cosine on the unit circle and ask about symmetries. Are either of these functions even? odd? We assume that a positive angle θ involves a counterclockwise rotation while a negative value of θ means we move clockwise. Is it clear that moving clockwise instead of counterclockwise does not change the sign of the x-value of the point P (x; y)? That is, for any angle θ, cos(−θ) = cos(θ) and so cosine is an even function. However, if we begin to move clockwise around the origin, beginning on the x-axis at (1; 0) then the y-value of the point P (x; y) immediately becomes negative instead of positive. Reversing the direction of rotation reverses the sign of the y-value and so sin(−θ) = − sin(θ): Therefore the sine function is odd. Here is the graph of the sine function. Figure 13. The graph of f(θ) = sin(θ): Notice the rotational symmetry about the origin. But the sine function has much more symmetry than just rotational symmetry about the origin. It is in fact periodic with period 2π (≈ 6:28:) The reasons for this are obvious: since 2π radians makes a complete revolution of the circle then sin(θ + 2π) = sin(θ): Some worked problems p 3 1. Describe the set of all the angles θ that satisfy the trig equation sin θ = − 2 : 160 Solution. If the sine of an angle is negative then it must be in the third of fourth quadrants. From 4π 5π p our knowledge of 30-60-90 triangles, we see that θ = and θ = are angles whose sine is − 3 : 3 3 2 But then since the sine function is periodic with period 2π we know that 4π 5π θ = + 2πk and θ = + 2πk, 3 3 where k is an integer, will also be solutions. 2. Solve each of the following equations. (a) cos x = 1 (b) 2 cos x = 1 (c) (2 cos x − 1)(cos x − 1) = 0: Solutions. (a) Since cos(0) = 1 then cos x = 1 means that x is either 0 or 0 plus some multiple of 2π: We can write this all in the form f2πk : k 2 Zg: π 1 π π (b) Since cos 3 = 2 then x = 3 is a solution to 2 cos x = 1. So is x = − 3 : (Remember, f(x) = cos x is an even function!) Since the period of cosine is 2π then our set of all solutions is π π f 3 + 2πk : k 2 Zg [ {− 3 + 2πk : k 2 Zg: (c) Any solution to (2 cos x − 1)(cos x − 1) = 0 is either a solution to cos x − 1 = 0 or a solution to 2 cos x − 1 = 0: We have already solved these equations in parts (a) and (b). All of the solutions to parts (a) and (b) are solutions to part (c). So our answer is π π f2πk : k 2 Zg [ f 3 + 2πk : k 2 Zg [ {− 3 + 2πk : k 2 Zg: 4.3.2 Amplitude, period and phase shift In practical applications many periodic functions are tranformations of the sine function. A transfor- mation of the sine function is often called a sine wave or a sinusoid. In general, sine waves will have form f(θ) = a sin(b(θ − c)) + d: (12) From our earlier discussion of transformations, we see that one can transform the graph of sin(θ) into the graph of f(θ) = a sin(b(θ + c)) + d by the following steps (in this order!): 1. Shift right by c, 2. Shrink horizontally by a factor of b, 3. Expand vertically by a factor of a, 4. Shift up by d. 161 In regards to the sine function, some of these translations are associated with particular terms. We will revisit the concept of period and introduce new terms frequency, amplitude and phase shift. Period of a sine wave Since the sine function has period 2π then the sine wave given by the function f(θ) = a sin(b(θ−c))+d 2π will have period : (We use an absolute value sign here since we want the period to be positive and it jbj is possible that b is negative.) Frequency of a sine wave The period of a sine wave tells us how many units of the input variable are required before the function repeats. The frequency a sine wave is the number of times the wave repeats within a single unit of the input variable θ; this is the reciprocal of the period. Thus the frequency of the standard sine wave sin(x) 1 jbj is and so the frequency of f(θ) = a sin(b(θ − c)) + d is : 2π 2π Electronic transmissions involve the sine wave. The frequency of the transmission represents the number of copies of the sine wave which occur within a single unit of time (often one second.) For example, an electromagnetic wave with frequency 4:3 × 1014 oscillates 430; 000; 000; 000; 000 (4 hundred million million) times in one second and is perceived by our eyes as the color red. Scientists often use the term \hertz" to represent \cycles per second" and so we say that frequency of red light is 4:3 × 1014 hertz. A light wave of lower frequency will not be visible to our eyes; waves of higher frequency will show up as orange, yellow, and so on. (For the frequencies of various colors, see the Wikipedia article on color.) Amplitude of a sine wave The height of the standard sine wave oscillates between a maximum of 1 and minimum of −1. If we consider the midpoint of this wave, then the wave rises 1 unit above and then drops 1 unit below this midpoint. This variation from the \average" height is the amplitude of the sine wave. For the standard sine wave the amplitude is 1. The amplitude of the sine wave f(θ) = a sin(b(θ − c)) + d is just jaj: (Again, we use absolute value because we want the amplitude to be positive.) Phase shift of a sine wave The graph of the standard sine wave sin(θ) passes through the origin (0; 0). A sine wave might be shifted to the right by an amount c; this is the phase shift of the sine wave f(θ) = a sin(b(θ − c)) + d: Note that the phase shift can be negative. A negative phase shift means that the graph of sin θ is being shifted by a certain amount to the left. The graph of cosine. The graph of cosine function has a very similar wave pattern to that of sine. Here is a graph of the cosine function. 162 Figure 14. The graph of f(x) = cos(θ): Just as we did with sine waves, we may consider graphs of g(θ) = a cos(b(θ − c)) + d: There is no significant difference in meaning for the period, frequency, amplitude or phase shift when 2π jbj discussing the cosine function; here the function g(θ) has period p = ; frequency f = , amplitude jbj 2π jaj and phase shift c. We tend to concentrate on the sine wave and ignore the cosine function. This is merely because the graph of cosine function is really a shift of the graph of sine! A careful examination of the graphs of these functions (or an examination of the definitions of cosines and sines on the unit circle) demonstrate that π the graph of cos(θ) is the graph of sin(θ) shifted to the left by : Therefore 2 π cos(θ) = sin(θ + ): (13) 2 π We could think of the cosine function as a sine wave with phase shift − . 2 4.3.3 The symmetries of the six trig functions Since the sine function is odd and the cosine function is even then sin(−θ) − sin(θ) tan(−θ) = = = − tan(θ) cos(−θ) cos(θ) and so the tangent function is odd. Here is a graph of the tangent function: 163 Figure 15. The graph of f(x) = tan(θ): y If the central angle θ gives the point P (x; y) on the unit circle then the tangent of θ is . The tangent x −y of θ + π will then be and since the minus signs will cancel we see that −x y tan(θ + π) = = tan(θ): x So the tangent function has period p = π, not 2π! The reciprocals of cosine, sine and tangent with have the same \parity" (even/odd property) as the original function. So the secant function is even while cosecant and cotangent are both odd. Just like cosine and sine, the secant and cosecant functions have period 2π: The cotangent function, like the tangent function, has period π: Worked problems with sine waves 1. Describe the transformations necessary to change the graph of y = sin x into the graph of π y = −5 sin(2(x − 4 )) + 1 Solution. (These must be done in exactly this order. Any other order is incorrect.) π (a) Shift right by 4 . (b) Shrink horizontally by a factor of 2. (c) Expand vertically by a factor of 5 and reflect across the x-axis.
Recommended publications
  • Glossary Physics (I-Introduction)
    1 Glossary Physics (I-introduction) - Efficiency: The percent of the work put into a machine that is converted into useful work output; = work done / energy used [-]. = eta In machines: The work output of any machine cannot exceed the work input (<=100%); in an ideal machine, where no energy is transformed into heat: work(input) = work(output), =100%. Energy: The property of a system that enables it to do work. Conservation o. E.: Energy cannot be created or destroyed; it may be transformed from one form into another, but the total amount of energy never changes. Equilibrium: The state of an object when not acted upon by a net force or net torque; an object in equilibrium may be at rest or moving at uniform velocity - not accelerating. Mechanical E.: The state of an object or system of objects for which any impressed forces cancels to zero and no acceleration occurs. Dynamic E.: Object is moving without experiencing acceleration. Static E.: Object is at rest.F Force: The influence that can cause an object to be accelerated or retarded; is always in the direction of the net force, hence a vector quantity; the four elementary forces are: Electromagnetic F.: Is an attraction or repulsion G, gravit. const.6.672E-11[Nm2/kg2] between electric charges: d, distance [m] 2 2 2 2 F = 1/(40) (q1q2/d ) [(CC/m )(Nm /C )] = [N] m,M, mass [kg] Gravitational F.: Is a mutual attraction between all masses: q, charge [As] [C] 2 2 2 2 F = GmM/d [Nm /kg kg 1/m ] = [N] 0, dielectric constant Strong F.: (nuclear force) Acts within the nuclei of atoms: 8.854E-12 [C2/Nm2] [F/m] 2 2 2 2 2 F = 1/(40) (e /d ) [(CC/m )(Nm /C )] = [N] , 3.14 [-] Weak F.: Manifests itself in special reactions among elementary e, 1.60210 E-19 [As] [C] particles, such as the reaction that occur in radioactive decay.
    [Show full text]
  • Frequency Response = K − Ml
    Frequency Response 1. Introduction We will examine the response of a second order linear constant coefficient system to a sinusoidal input. We will pay special attention to the way the output changes as the frequency of the input changes. This is what we mean by the frequency response of the system. In particular, we will look at the amplitude response and the phase response; that is, the amplitude and phase lag of the system’s output considered as functions of the input frequency. In O.4 the Exponential Input Theorem was used to find a particular solution in the case of exponential or sinusoidal input. Here we will work out in detail the formulas for a second order system. We will then interpret these formulas as the frequency response of a mechanical system. In particular, we will look at damped-spring-mass systems. We will study carefully two cases: first, when the mass is driven by pushing on the spring and second, when the mass is driven by pushing on the dashpot. Both these systems have the same form p(D)x = q(t), but their amplitude responses are very different. This is because, as we will see, it can make physical sense to designate something other than q(t) as the input. For example, in the system mx0 + bx0 + kx = by0 we will consider y to be the input. (Of course, y is related to the expression on the right- hand-side of the equation, but it is not exactly the same.) 2. Sinusoidally Driven Systems: Second Order Constant Coefficient DE’s We start with the second order linear constant coefficient (CC) DE, which as we’ve seen can be interpreted as modeling a damped forced harmonic oscillator.
    [Show full text]
  • Multidisciplinary Design Project Engineering Dictionary Version 0.0.2
    Multidisciplinary Design Project Engineering Dictionary Version 0.0.2 February 15, 2006 . DRAFT Cambridge-MIT Institute Multidisciplinary Design Project This Dictionary/Glossary of Engineering terms has been compiled to compliment the work developed as part of the Multi-disciplinary Design Project (MDP), which is a programme to develop teaching material and kits to aid the running of mechtronics projects in Universities and Schools. The project is being carried out with support from the Cambridge-MIT Institute undergraduate teaching programe. For more information about the project please visit the MDP website at http://www-mdp.eng.cam.ac.uk or contact Dr. Peter Long Prof. Alex Slocum Cambridge University Engineering Department Massachusetts Institute of Technology Trumpington Street, 77 Massachusetts Ave. Cambridge. Cambridge MA 02139-4307 CB2 1PZ. USA e-mail: [email protected] e-mail: [email protected] tel: +44 (0) 1223 332779 tel: +1 617 253 0012 For information about the CMI initiative please see Cambridge-MIT Institute website :- http://www.cambridge-mit.org CMI CMI, University of Cambridge Massachusetts Institute of Technology 10 Miller’s Yard, 77 Massachusetts Ave. Mill Lane, Cambridge MA 02139-4307 Cambridge. CB2 1RQ. USA tel: +44 (0) 1223 327207 tel. +1 617 253 7732 fax: +44 (0) 1223 765891 fax. +1 617 258 8539 . DRAFT 2 CMI-MDP Programme 1 Introduction This dictionary/glossary has not been developed as a definative work but as a useful reference book for engi- neering students to search when looking for the meaning of a word/phrase. It has been compiled from a number of existing glossaries together with a number of local additions.
    [Show full text]
  • Music Synthesis
    MUSIC SYNTHESIS Sound synthesis is the art of using electronic devices to create & modify signals that are then turned into sound waves by a speaker. Making Waves: WGRL - 2015 Oscillators An oscillator generates a consistent, repeating signal. Signals from oscillators and other sources are used to control the movement of the cones in our speakers, which make real sound waves which travel to our ears. An oscillator wiggles an audio signal. DEMONSTRATE: If you tie one end of a rope to a doorknob, stand back a few feet, and wiggle the other end of the rope up and down really fast, you're doing roughly the same thing as an oscillator. REVIEW: Frequency and pitch Frequency, measured in cycles/second AKA Hertz, is the rate at which a sound wave moves in and out. The length of a signal cycle of a waveform is the span of time it takes for that waveform to repeat. People generally hear an increase in the frequency of a sound wave as an increase in pitch. F DEMONSTRATE: an oscillator generating a signal that repeats at the rate of 440 cycles per second will have the same pitch as middle A on a piano. An oscillator generating a signal that repeats at 880 cycles per second will have the same pitch as the A an octave above middle A. Types of Waveforms: SINE The SINE wave is the most basic, pure waveform. These simple waves have only one frequency. Any other waveform can be created by adding up a series of sine waves. In this picture, the first two sine waves In this picture, a sine wave is added to its are added together to produce a third.
    [Show full text]
  • To Learn the Basic Properties of Traveling Waves. Slide 20-2 Chapter 20 Preview
    Chapter 20 Traveling Waves Chapter Goal: To learn the basic properties of traveling waves. Slide 20-2 Chapter 20 Preview Slide 20-3 Chapter 20 Preview Slide 20-5 • result from periodic disturbance • same period (frequency) as source 1 f • Longitudinal or Transverse Waves • Characterized by – amplitude (how far do the “bits” move from their equilibrium positions? Amplitude of MEDIUM) – period or frequency (how long does it take for each “bit” to go through one cycle?) – wavelength (over what distance does the cycle repeat in a freeze frame?) – wave speed (how fast is the energy transferred?) vf v Wavelength and Frequency are Inversely related: f The shorter the wavelength, the higher the frequency. The longer the wavelength, the lower the frequency. 3Hz 5Hz Spherical Waves Wave speed: Depends on Properties of the Medium: Temperature, Density, Elasticity, Tension, Relative Motion vf Transverse Wave • A traveling wave or pulse that causes the elements of the disturbed medium to move perpendicular to the direction of propagation is called a transverse wave Longitudinal Wave A traveling wave or pulse that causes the elements of the disturbed medium to move parallel to the direction of propagation is called a longitudinal wave: Pulse Tuning Fork Guitar String Types of Waves Sound String Wave PULSE: • traveling disturbance • transfers energy and momentum • no bulk motion of the medium • comes in two flavors • LONGitudinal • TRANSverse Traveling Pulse • For a pulse traveling to the right – y (x, t) = f (x – vt) • For a pulse traveling to
    [Show full text]
  • Resonance Beyond Frequency-Matching
    Resonance Beyond Frequency-Matching Zhenyu Wang (王振宇)1, Mingzhe Li (李明哲)1,2, & Ruifang Wang (王瑞方)1,2* 1 Department of Physics, Xiamen University, Xiamen 361005, China. 2 Institute of Theoretical Physics and Astrophysics, Xiamen University, Xiamen 361005, China. *Corresponding author. [email protected] Resonance, defined as the oscillation of a system when the temporal frequency of an external stimulus matches a natural frequency of the system, is important in both fundamental physics and applied disciplines. However, the spatial character of oscillation is not considered in the definition of resonance. In this work, we reveal the creation of spatial resonance when the stimulus matches the space pattern of a normal mode in an oscillating system. The complete resonance, which we call multidimensional resonance, is a combination of both the spatial and the conventionally defined (temporal) resonance and can be several orders of magnitude stronger than the temporal resonance alone. We further elucidate that the spin wave produced by multidimensional resonance drives considerably faster reversal of the vortex core in a magnetic nanodisk. Our findings provide insight into the nature of wave dynamics and open the door to novel applications. I. INTRODUCTION Resonance is a universal property of oscillation in both classical and quantum physics[1,2]. Resonance occurs at a wide range of scales, from subatomic particles[2,3] to astronomical objects[4]. A thorough understanding of resonance is therefore crucial for both fundamental research[4-8] and numerous related applications[9-12]. The simplest resonance system is composed of one oscillating element, for instance, a pendulum. Such a simple system features a single inherent resonance frequency.
    [Show full text]
  • Interference: Two Spherical Sources Superposition
    Interference: Two Spherical Sources Superposition Interference Waves ADD: Constructive Interference. Waves SUBTRACT: Destructive Interference. In Phase Out of Phase Superposition Traveling waves move through each other, interfere, and keep on moving! Pulsed Interference Superposition Waves ADD in space. Any complex wave can be built from simple sine waves. Simply add them point by point. Simple Sine Wave Simple Sine Wave Complex Wave Fourier Synthesis of a Square Wave Any periodic function can be represented as a series of sine and cosine terms in a Fourier series: y() t ( An sin2ƒ n t B n cos2ƒ) n t n Superposition of Sinusoidal Waves • Case 1: Identical, same direction, with phase difference (Interference) Both 1-D and 2-D waves. • Case 2: Identical, opposite direction (standing waves) • Case 3: Slightly different frequencies (Beats) Superposition of Sinusoidal Waves • Assume two waves are traveling in the same direction, with the same frequency, wavelength and amplitude • The waves differ in phase • y1 = A sin (kx - wt) • y2 = A sin (kx - wt + f) • y = y1+y2 = 2A cos (f/2) sin (kx - wt + f/2) Resultant Amplitude Depends on phase: Spatial Interference Term Sinusoidal Waves with Constructive Interference y = y1+y2 = 2A cos (f/2) sin (kx - wt + f /2) • When f = 0, then cos (f/2) = 1 • The amplitude of the resultant wave is 2A – The crests of one wave coincide with the crests of the other wave • The waves are everywhere in phase • The waves interfere constructively Sinusoidal Waves with Destructive Interference y = y1+y2 = 2A cos (f/2)
    [Show full text]
  • Understanding What Really Happens at Resonance
    feature article Resonance Revealed: Understanding What Really Happens at Resonance Chris White Wood RESONANCE focus on some underlying principles and use these to construct The word has various meanings in acoustics, chemistry, vector diagrams to explain the resonance phenomenon. It thus electronics, mechanics, even astronomy. But for vibration aspires to provide a more intuitive understanding. professionals, it is the definition from the field of mechanics that is of interest, and it is usually stated thus: SYSTEM BEHAVIOR Before we move on to the why and how, let us review the what— “The condition where a system or body is subjected to an that is, what happens when a cyclic force, gradually increasing oscillating force close to its natural frequency.” from zero frequency, is applied to a vibrating system. Let us consider the shaft of some rotating machine. Rotor Yet this definition seems incomplete. It really only states the balancing is always performed to within a tolerance; there condition necessary for resonance to occur—telling us nothing will always be some degree of residual unbalance, which will of the condition itself. How does a system behave at resonance, give rise to a rotating centrifugal force. Although the residual and why? Why does the behavior change as it passes through unbalance is due to a nonsymmetrical distribution of mass resonance? Why does a system even have a natural frequency? around the center of rotation, we can think of it as an equivalent Of course, we can diagnose machinery vibration resonance “heavy spot” at some point on the rotor. problems without complete answers to these questions.
    [Show full text]
  • Chapter 1 Waves in Two and Three Dimensions
    Chapter 1 Waves in Two and Three Dimensions In this chapter we extend the ideas of the previous chapter to the case of waves in more than one dimension. The extension of the sine wave to higher dimensions is the plane wave. Wave packets in two and three dimensions arise when plane waves moving in different directions are superimposed. Diffraction results from the disruption of a wave which is impingent upon an object. Those parts of the wave front hitting the object are scattered, modified, or destroyed. The resulting diffraction pattern comes from the subsequent interference of the various pieces of the modified wave. A knowl- edge of diffraction is necessary to understand the behavior and limitations of optical instruments such as telescopes. Diffraction and interference in two and three dimensions can be manipu- lated to produce useful devices such as the diffraction grating. 1.1 Math Tutorial — Vectors Before we can proceed further we need to explore the idea of a vector. A vector is a quantity which expresses both magnitude and direction. Graph- ically we represent a vector as an arrow. In typeset notation a vector is represented by a boldface character, while in handwriting an arrow is drawn over the character representing the vector. Figure 1.1 shows some examples of displacement vectors, i. e., vectors which represent the displacement of one object from another, and introduces 1 CHAPTER 1. WAVES IN TWO AND THREE DIMENSIONS 2 y Paul B y B C C y George A A y Mary x A x B x C x Figure 1.1: Displacement vectors in a plane.
    [Show full text]
  • PHASOR DIAGRAMS II Fault Analysis Ron Alexander – Bonneville Power Administration
    PHASOR DIAGRAMS II Fault Analysis Ron Alexander – Bonneville Power Administration For any technician or engineer to understand the characteristics of a power system, the use of phasors and polarity are essential. They aid in the understanding and analysis of how the power system is connected and operates both during normal (balanced) conditions, as well as fault (unbalanced) conditions. Thus, as J. Lewis Blackburn of Westinghouse stated, “a sound theoretical and practical knowledge of phasors and polarity is a fundamental and valuable resource.” C C A A B B Balanced System Unbalanced System With the proper identification of circuits and assumed direction established in a circuit diagram (with the use of polarity), the corresponding phasor diagram can be drawn from either calculated or test data. Fortunately, most relays today along with digital fault recorders supply us with recorded quantities as seen during fault conditions. This in turn allows us to create a phasor diagram in which we can visualize how the power system was affected during a fault condition. FAULTS Faults are unavoidable in the operation of a power system. Faults are caused by: • Lightning • Insulator failure • Equipment failure • Trees • Accidents • Vandalism such as gunshots • Fires • Foreign material Faults are essentially short circuits on the power system and can occur between phases and ground in virtually any combination: • One phase to ground • Two phases to ground • Three phase to ground • Phase to phase As previously instructed by Cliff Harris of Idaho Power Company: Faults come uninvited and seldom leave voluntarily. Faults cause voltage to collapse and current to increase. Fault voltage and current magnitude depend on several factors, including source strength, location of fault, type of fault, system conditions, etc.
    [Show full text]
  • Tektronix Signal Generator
    Signal Generator Fundamentals Signal Generator Fundamentals Table of Contents The Complete Measurement System · · · · · · · · · · · · · · · 5 Complex Waves · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 15 The Signal Generator · · · · · · · · · · · · · · · · · · · · · · · · · · · · 6 Signal Modulation · · · · · · · · · · · · · · · · · · · · · · · · · · · 15 Analog or Digital? · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 7 Analog Modulation · · · · · · · · · · · · · · · · · · · · · · · · · 15 Basic Signal Generator Applications· · · · · · · · · · · · · · · · 8 Digital Modulation · · · · · · · · · · · · · · · · · · · · · · · · · · 15 Verification · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 8 Frequency Sweep · · · · · · · · · · · · · · · · · · · · · · · · · · · 16 Testing Digital Modulator Transmitters and Receivers · · 8 Quadrature Modulation · · · · · · · · · · · · · · · · · · · · · 16 Characterization · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 8 Digital Patterns and Formats · · · · · · · · · · · · · · · · · · · 16 Testing D/A and A/D Converters · · · · · · · · · · · · · · · · · 8 Bit Streams · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 17 Stress/Margin Testing · · · · · · · · · · · · · · · · · · · · · · · · · · · 9 Types of Signal Generators · · · · · · · · · · · · · · · · · · · · · · 17 Stressing Communication Receivers · · · · · · · · · · · · · · 9 Analog and Mixed Signal Generators · · · · · · · · · · · · · · 18 Signal Generation Techniques
    [Show full text]
  • Fourier Analysis
    FOURIER ANALYSIS Lucas Illing 2008 Contents 1 Fourier Series 2 1.1 General Introduction . 2 1.2 Discontinuous Functions . 5 1.3 Complex Fourier Series . 7 2 Fourier Transform 8 2.1 Definition . 8 2.2 The issue of convention . 11 2.3 Convolution Theorem . 12 2.4 Spectral Leakage . 13 3 Discrete Time 17 3.1 Discrete Time Fourier Transform . 17 3.2 Discrete Fourier Transform (and FFT) . 19 4 Executive Summary 20 1 1. Fourier Series 1 Fourier Series 1.1 General Introduction Consider a function f(τ) that is periodic with period T . f(τ + T ) = f(τ) (1) We may always rescale τ to make the function 2π periodic. To do so, define 2π a new independent variable t = T τ, so that f(t + 2π) = f(t) (2) So let us consider the set of all sufficiently nice functions f(t) of a real variable t that are periodic, with period 2π. Since the function is periodic we only need to consider its behavior on one interval of length 2π, e.g. on the interval (−π; π). The idea is to decompose any such function f(t) into an infinite sum, or series, of simpler functions. Following Joseph Fourier (1768-1830) consider the infinite sum of sine and cosine functions 1 a0 X f(t) = + [a cos(nt) + b sin(nt)] (3) 2 n n n=1 where the constant coefficients an and bn are called the Fourier coefficients of f. The first question one would like to answer is how to find those coefficients.
    [Show full text]