C H A P T E R 21 Fourier Series.

Slides:



Advertisements
Similar presentations
For more ppt’s, visit Fourier Series For more ppt’s, visit
Advertisements

Signals and Fourier Theory
INVERTERS (DC-AC Converters).
Fourier Series 主講者:虞台文.
Math Review with Matlab:
Signals Processing Second Meeting. Fourier's theorem: Analysis Fourier analysis is the process of analyzing periodic non-sinusoidal waveforms in order.
Lecture 8: Fourier Series and Fourier Transform
CHAPTER 16 Fourier Series.
Unit 7 Fourier, DFT, and FFT 1. Time and Frequency Representation The most common representation of signals and waveforms is in the time domain Most signal.
Chapter 4 The Fourier Series and Fourier Transform
Chapter 4 The Fourier Series and Fourier Transform.
Chapter 15 Fourier Series and Fourier Transform
Chapter 25 Nonsinusoidal Waveforms. 2 Waveforms Used in electronics except for sinusoidal Any periodic waveform may be expressed as –Sum of a series of.
Where we’re going Speed, Storage Issues Frequency Space.
Lecture 1 Signals in the Time and Frequency Domains
Fourier series. The frequency domain It is sometimes preferable to work in the frequency domain rather than time –Some mathematical operations are easier.
Fundamentals of Electric Circuits Chapter 17
1 The Fourier Series for Discrete- Time Signals Suppose that we are given a periodic sequence with period N. The Fourier series representation for x[n]
12.1 The Dirichlet conditions: Chapter 12 Fourier series Advantages: (1)describes functions that are not everywhere continuous and/or differentiable. (2)represent.
ME- 495 Mechanical and Thermal Systems Lab Fall 2011 Chapter 4 - THE ANALOG MEASURAND: TIME-DEPENDANT CHARACTERISTICS Professor: Sam Kassegne.
Module 2 SPECTRAL ANALYSIS OF COMMUNICATION SIGNAL.
Chapter 17 The Fourier Series
Fourier Series. Introduction Decompose a periodic input signal into primitive periodic components. A periodic sequence T2T3T t f(t)f(t)
1 Fourier Representations of Signals & Linear Time-Invariant Systems Chapter 3.
Fourier series: Eigenfunction Approach
Fourier Series Kamen and Heck.
Course Outline (Tentative) Fundamental Concepts of Signals and Systems Signals Systems Linear Time-Invariant (LTI) Systems Convolution integral and sum.
1 ECE 3336 Introduction to Circuits & Electronics Note Set #8 Phasors Spring 2013 TUE&TH 5:30-7:00 pm Dr. Wanda Wosik.
Chapter 2. Signals and Linear Systems
12/2/2015 Fourier Series - Supplemental Notes A Fourier series is a sum of sine and cosine harmonic functions that approximates a repetitive (periodic)
Fourier Series Fourier Transform Discrete Fourier Transform ISAT 300 Instrumentation and Measurement Spring 2000.
Fourier Analysis of Signals and Systems
Fourier series, Discrete Time Fourier Transform and Characteristic functions.
Signal Analyzers. Introduction In the first 14 chapters we discussed measurement techniques in the time domain, that is, measurement of parameters that.
The Spectrum n Jean Baptiste Fourier ( ) discovered a fundamental tenet of wave theory.
Eeng360 1 Chapter 2 Fourier Transform and Spectra Topics:  Fourier transform (FT) of a waveform  Properties of Fourier Transforms  Parseval’s Theorem.
1 EE2003 Circuit Theory Chapter 17 The Fourier Series Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
بسم الله الرحمن الرحيم University of Khartoum Department of Electrical and Electronic Engineering Third Year – 2015 Dr. Iman AbuelMaaly Abdelrahman
EEE 332 COMMUNICATION Fourier Series Text book: Louis E. Frenzel. Jr. Principles of Electronic Communication Systems, Third Ed. Mc Graw Hill.
The Frequency Domain Digital Image Processing – Chapter 8.
Chapter 2. Characteristics of Signal ※ Signal : transmission of information The quality of the information depends on proper selection of a measurement.
Frequency Domain Representation of Biomedical Signals.
Fourier Transform and Spectra
Fourier Series 1 Chapter 4:. TOPIC: 2 Fourier series definition Fourier coefficients The effect of symmetry on Fourier series coefficients Alternative.
Complex Form of Fourier Series For a real periodic function f(t) with period T, fundamental frequency where is the “complex amplitude spectrum”.
Convergence of Fourier series It is known that a periodic signal x(t) has a Fourier series representation if it satisfies the following Dirichlet conditions:
ELECTRIC CIRCUITS EIGHTH EDITION JAMES W. NILSSON & SUSAN A. RIEDEL.
Mayda M. Velasco Winter Classical Mechanics: Lecture #20.
EE422G Signals and Systems Laboratory Fourier Series and the DFT Kevin D. Donohue Electrical and Computer Engineering University of Kentucky.
Chapter 17 The Fourier Series
Signal Fndamentals Analogue, Discrete and Digital Signals
UNIT-II FOURIER TRANSFORM
Present by SUBHRANGSU SEKHAR DEY
MECH 373 Instrumentation and Measurements
SIGNALS PROCESSING AND ANALYSIS
Signal Analysis Objectives: To explain the most fundamental signal
MECH 373 Instrumentation and Measurements
Continuous-Time Signal Analysis
Principle of Digital Communication (PDC) – EC 2004
UNIT II Analysis of Continuous Time signal
4.1 DFT In practice the Fourier components of data are obtained by digital computation rather than by analog processing. The analog values have to be.
Fourier transforms and
7.1 Introduction to Fourier Transforms
The Fourier Series for Continuous-Time Periodic Signals
Fourier Transform and Spectra
EE210 Digital Electronics Class Lecture 2 September 03, 2008
3.Fourier Series Representation of Periodic Signal
Fourier Transforms University of Texas at Austin CS384G - Computer Graphics Fall 2008 Don Fussell.
C H A P T E R 11 A.C. Fundamentals.
Lec.6:Discrete Fourier Transform and Signal Spectrum
Presentation transcript:

C H A P T E R 21 Fourier Series

Fourier Series C-21 Harmonic Analysis Periodic Functions Trigonometric Fourier Series Alternate Forms of Trigonometric Fourier Series Certain Useful Integral Calculus Theorems Evalulation of Fourier Constants Different Types of Functional Symmetries Line or Frequency Spectrum Procedure for Finding the Fourier Series of a Given Function Wave Analyzer Spectrum Analyzer Fourier Analyzer Harmonic Synthesis

Harmonic Analysis For carrying out this analysis, the following methods are available which are all based on Fourier theorem: Analytical Method–the standard Fourier Analysis Graphical Method– (a) by Superposition Method (Wedgemore’ Method) (b) Twenty four Ordinate Method Electronic Method–by using a special instrument called ‘harmonic analyser’ We will consider the first and third methods only.

Periodic Functions A function f (t) is said to be periodic if f (t +T) = f (t) for all values of t where T is some positive number. This T is the interval between two successive repetitions and is called the period of f (t). A sine wave having a period of T = 2π / ω is a common example of periodic function.

Trigonometric Fourier Series Suppose that a given function f (t) satisfies the following conditions (known as Dirichlet conditions): f (t) is periodic having a period of T. f (t) is single-valued everywhere. In case it is discontinuous, f (t) has a finite number of discontinuities in any one period. f (t) has a finite number of maxima and minima in any one period.

Alternate Forms of Trigonometric Fourier Series

Certain Useful Integral Calculus Theorems

Evaluation of Fourier Constants Let us now evaluate the constants a0 , an and bn by using the above integral calculus theorems Value of a0 Value of an Value of bn

Different Types of Functional Symmetries A non-sinusoidal wave can have the following types of symmetry: Even Symmetry The function f (t) is said to possess even symmetry if f (t) = f (– t). Odd Symmetry A function f (t) is said to possess odd symmetry if f (−t) = − f (t) . Half-wave Symmetry or Mirror-Symmetry or Rotational Symmetry A function f (t) is said to possess half-wave symmetry if f (t) = −f (t ±T / 2)or− f (t) = f (t ±T / 2) . Quarter-wave Symmetry An odd or even function with rotational symmetry is said to possess quarter-wave symmetry.

Line or Frequency Spectrum A plot which shows the amplitude of each frequency component in a complex waveform is called the line spectrum or frequency spectrum (Fig. 21.6). The amplitude of each frequency component is indicated by the length of the vertical line located at the corresponding frequency.

Procedure for Finding the Fourier Series of a Given Function

Wave Analyzer A wave analyzer is an instrument designed to measure the individual amplitude of each harmonic component in a complex waveform. It is the simplest form of analysis in the frequency domain and can be performed with a set of tuned filters and a voltmeter. That is why such analyzers are also called frequency-selective voltmeters.

Wave Analyzer

Spectrum Analyzer It is a real-time instrument i.e. it simultaneously displays on a CRT, the harmonic peak values versus frequency of all wave components in the frequency range of the analyzer. The block diagram of such an analyzer is shown in Fig. 21.10. Contd….

Spectrum Analyzer

Fourier Analyzer A Fourier analyzer uses digital signal processing technique and provides information regarding the contents of a complex wave which goes beyond the capabilities of a spectrum analyzer. These analyzers are based on the calculation of the discrete Fourier transform using an algorithm called the fast Fourier transformer. A basic block diagram of a Fourier analyzer is shown in Fig. 21.11. The complex wave signal applied to the instrument is first filtered to remove out-of-band frequency components. Contd….

Fourier Analyzer

Harmonic Synthesis It is the process of building up the shape of a complex waveform by adding the instantaneous values of the fundamental and harmonics. It is a graphical procedure based on the knowledge of the different components of a complex waveform.