Fourier Series 4.2-4.3. Motivation (Time Domain Representation) (Frequency Domain Representation)

Slides:



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

Signals and Systems Fall 2003 Lecture #5 18 September Complex Exponentials as Eigenfunctions of LTI Systems 2. Fourier Series representation of.
Fourier Series 主講者:虞台文.
Sampling theory Fourier theory made easy
Math Review with Matlab:
Signals and Signal Space
Lecture 8: Fourier Series and Fourier Transform
S. Mandayam/ ECOMMS/ECE Dept./Rowan University Electrical Communications Systems ECE Spring 2007 Shreekanth Mandayam ECE Department Rowan University.
Signals, Fourier Series
Discrete-Time Fourier Methods
Fourier Analysis for GPS ASEN5190 P. Axelrad October 2003.
Chapter 4 The Fourier Series and Fourier Transform
CH#3 Fourier Series and Transform
Chapter 4 The Fourier Series and Fourier Transform.
Systems: Definition Filter
Chapter-4 Synthesis and Analysis of Complex Waves Fourier Synthesis: The process of combining harmonics to form a complex wave. Fourier Analysis: Determining.
Applications of Fourier Transform. Outline Sampling Bandwidth Energy density Power spectral density.
Fundamentals of Electric Circuits Chapter 17
12. FOURIER ANALYSIS CIRCUITS by Ulaby & Maharbiz All rights reserved. Do not copy or distribute. © 2013 National Technology and Science Press.
Basic signals Why use complex exponentials? – Because they are useful building blocks which can be used to represent large and useful classes of signals.
ECE 8443 – Pattern Recognition ECE 3163 – Signals and Systems Objectives: The Trigonometric Fourier Series Pulse Train Example Symmetry (Even and Odd Functions)
EE104: Lecture 5 Outline Review of Last Lecture Introduction to Fourier Transforms Fourier Transform from Fourier Series Fourier Transform Pair and Signal.
Chapter 4 Fourier transform Prepared by Dr. Taha MAhdy.
Digital Image Processing, 2nd ed. © 2002 R. C. Gonzalez & R. E. Woods Background Any function that periodically repeats itself.
1 ELECTRIC CIRCUITS F U N D A M E N T A L S O F CHARLES K. ALEXANDER MATTHEW N.O. SADIKU McGraw-Hill © The McGraw-Hill Companies, Inc. Fig For Example.
Fourier Series Kamen and Heck.
By Ya Bao oct 1 Fourier Series Fourier series: how to get the spectrum of a periodic signal. Fourier transform: how.
2009/10/26 System Arch 1 OUTLINE Periodic Signal Fourier series introduction Sinusoids Orthogonality Integration vs inner product.
11/20/2015 Fourier Series Chapter /20/2015 Fourier Series Chapter 6 2.
Part 4 Chapter 16 Fourier Analysis PowerPoints organized by Prof. Steve Chapra, University All images copyright © The McGraw-Hill Companies, Inc. Permission.
Lecture 17: The Discrete Fourier Series Instructor: Dr. Ghazi Al Sukkar Dept. of Electrical Engineering The University of Jordan
11. FOURIER ANALYSIS CIRCUITS by Ulaby & Maharbiz.
Convolution in Matlab The convolution in matlab is accomplished by using “conv” command. If “u” is a vector with length ‘n’ and “v” is a vector with length.
2015/11/28 System Arch 2008 (Fire Tom Wada) 1 OUTLINE Periodic Signal Fourier series introduction Sinusoids Orthogonality Integration vs inner product.
CH#3 Fourier Series and Transform
ES97H Biomedical Signal Processing
The Trigonometric Fourier Series Representations
SIGNALS AND SIGNAL SPACE
The Average Normalized Power Spectrum and its Relevance (Examples 2
Signals and Systems Fall 2003 Lecture #6 23 September CT Fourier series reprise, properties, and examples 2. DT Fourier series 3. DT Fourier series.
Frequency domain analysis and Fourier Transform
The Trigonometric Fourier Series Representations
1 John McCloskey NASA/GSFC Chief EMC Engineer Code Effects of Rise/Fall Times on Signal Spectra.
Fourier Series & Transforms
Fourier Series 1 Chapter 4:. TOPIC: 2 Fourier series definition Fourier coefficients The effect of symmetry on Fourier series coefficients Alternative.
CH#3 Fourier Series and Transform 1 st semester King Saud University College of Applied studies and Community Service 1301CT By: Nour Alhariqi.
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:
الفريق الأكاديمي لجنة الهندسة الكهربائية 1 Discrete Fourier Series Given a periodic sequence with period N so that The Fourier series representation can.
Continuous-time Fourier Series Prof. Siripong Potisuk.
EE422G Signals and Systems Laboratory Fourier Series and the DFT Kevin D. Donohue Electrical and Computer Engineering University of Kentucky.
Boyce/DiPrima 10th ed, Ch 10.4: Even and Odd Functions Elementary Differential Equations and Boundary Value Problems, 10th edition, by William E. Boyce.
Fourier series With coefficients:.
Ch 10.4: Even and Odd Functions
Advanced Digital Signal Processing
DIGITAL FILTERS h = time invariant weights (IMPULSE RESPONSE FUNCTION)
Neural data-analysis Workshop
Lecture 8 Fourier Series & Spectrum
CIRCUITS by Ulaby & Maharbiz
8 DIGITAL SIGNAL SPECTRA
Fourier transforms and
Notes Assignments Tutorial problems
Discrete Fourier Transform Dr.P.Prakasam Professor/ECE.
Digital Signal Processing
7.2 Even and Odd Fourier Transforms phase of signal frequencies
The Fourier Series for Continuous-Time Periodic Signals
Lecture 7C Fourier Series Examples: Common Periodic Signals
Signals and Systems Lecture 15
Signals and Systems Using MATLAB Luis F. Chaparro
Signals and Systems Lecture 11
Presentation transcript:

Fourier Series

Motivation (Time Domain Representation) (Frequency Domain Representation)

Goal

Connection to Calc (Taylor Series)

Introductory Example

Details

Fourier Coefficients

Methods of Calculating the Fourier Series Coefficients

Fourier Series of Impulse Train

Fourier Series of a Square Wave Co is a DC average.

Details (1)

Details (2)

Details (3)

Gibbs Phenomenon

Gibbs Phenomenon (2)

Fourier Series Coefficient K=-5, Ck=2jV/(5π) K=-3, Ck=2jV/(3π) K=-1, Ck=2jV/π K=1, Ck=-2jV/π K=3, Ck=-2jV/(3π) K=5, Ck=-2jV/(5π)

Frequency Spectra K=-5, Ck=2jV/(5π) K=-3, Ck=2jV/(3π) K=-1, Ck=2jV/π K=1, Ck=-2jV/π K=3, Ck=-2jV/(3π) K=5, Ck=-2jV/(5π)

Use Matlab to Calculate Fourier Series Coefficient Integration from 0.5 to 1

Different Representations of Fourier Series

Rectangular Pulse

Sinc Function

Spectrum for a Rectangular Pulse Train

Peak Values of Sinc x