11. FOURIER ANALYSIS CIRCUITS by Ulaby & Maharbiz.

Slides:



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

Fourier Transform Periodicity of Fourier series
Fourier Transform. Fourier Series Vs. Fourier Transform We use Fourier Series to represent periodic signals We will use Fourier Transform to represent.
ECE 8443 – Pattern Recognition EE 3512 – Signals: Continuous and Discrete Objectives: Response to a Sinusoidal Input Frequency Analysis of an RC Circuit.
Chapter 5 The Fourier Transform. Basic Idea We covered the Fourier Transform which to represent periodic signals We assumed periodic continuous signals.
Fourier Series 主講者:虞台文.
Engineering Mathematics Class #15 Fourier Series, Integrals, and Transforms (Part 3) Sheng-Fang Huang.
1 Chapter 16 Fourier Analysis with MATLAB Fourier analysis is the process of representing a function in terms of sinusoidal components. It is widely employed.
Leo Lam © Signals and Systems EE235. Fourier Transform: Leo Lam © Fourier Formulas: Inverse Fourier Transform: Fourier Transform:
Signals and Signal Space
Copyright ©2011 by Pearson Education, Inc. publishing as Pearson [imprint] Introductory Circuit Analysis, 12/e Boylestad Chapter 25 Nonsinusoidal Circuits.
Properties of continuous Fourier Transforms
Fourier Series.
Signals, Fourier Series
FOURIER SERIES CHAPTER 5. TOPIC: Fourier series definition Fourier coefficients The effect of symmetry on Fourier series coefficients Alternative trigonometric.
Chapter 18 Fourier Circuit Analysis
6. Circuit Analysis by Laplace
Fourier Series. is the “fundamental frequency” Fourier Series is the “fundamental frequency”
Leo Lam © Signals and Systems EE235. Leo Lam © Speed of light.
Chapter 4 The Fourier Series and Fourier Transform
Fourier Series Motivation (Time Domain Representation) (Frequency Domain Representation)
CH#3 Fourier Series and Transform
Chapter 4 The Fourier Series and Fourier Transform.
Chapter 15 Fourier Series and Fourier Transform
5. RC AND RL FIRST-ORDER CIRCUITS CIRCUITS by Ulaby & Maharbiz.
ECE 8443 – Pattern Recognition ECE 3163 – Signals and Systems Objectives: Introduction to the IEEE Derivation of the DFT Relationship to DTFT DFT of Truncated.
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.
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.
Fourier theory We know a lot about waves at a single  : n( , v p ( , R(  absorption(  … Analyze arbitrary in terms of these, because Fourier.
Module 2 SPECTRAL ANALYSIS OF COMMUNICATION SIGNAL.
Chapter 17 The Fourier Series
CIRCUITS by Ulaby & Maharbiz
Fourier Series. Introduction Decompose a periodic input signal into primitive periodic components. A periodic sequence T2T3T t f(t)f(t)
ECE 8443 – Pattern Recognition ECE 3163 – Signals and Systems Objectives: The Trigonometric Fourier Series Pulse Train Example Symmetry (Even and Odd Functions)
Fundamentals of Electric Circuits Chapter 18 Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
Chapter 4 Fourier transform Prepared by Dr. Taha MAhdy.
Fourier series: Eigenfunction Approach
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.
10. Laplace TransforM Technique
CH#3 Fourier Series and Transform
The Trigonometric Fourier Series Representations
15. Fourier analysis techniques
1. CIRCUIT TERMINOLOGY CIRCUITS by Ulaby & Maharbiz.
Leo Lam © Signals and Systems EE235 Leo Lam.
ECE 8443 – Pattern Recognition EE 3512 – Signals: Continuous and Discrete Objectives: Derivation of the DFT Relationship to DTFT DFT of Truncated Signals.
Alexander-Sadiku Fundamentals of Electric Circuits
1 “Figures and images used in these lecture notes by permission, copyright 1997 by Alan V. Oppenheim and Alan S. Willsky” Signals and Systems Spring 2003.
The Trigonometric Fourier Series Representations
7. AC ANALYSIS CIRCUITS by Ulaby & Maharbiz All rights reserved. Do not copy or distribute. © 2013 National Technology and Science Press All rights reserved.
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.
ELECTRIC CIRCUITS EIGHTH EDITION JAMES W. NILSSON & SUSAN A. RIEDEL.
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:
ELECTRIC CIRCUITS EIGHTH EDITION JAMES W. NILSSON & SUSAN A. RIEDEL.
Chapter 17 The Fourier Series
UNIT II Analysis of Continuous Time signal
CIRCUITS by Ulaby & Maharbiz
Fourier transforms and
Fundamentals of Electric Circuits Chapter 18
Signals and Systems EE235 Leo Lam ©
Fourier Transform and Spectra
CIRCUITS by Ulaby & Maharbiz
Signals and Systems EE235 Lecture 23 Leo Lam ©
Presentation transcript:

11. FOURIER ANALYSIS CIRCUITS by Ulaby & Maharbiz

Overview

Analysis Techniques single-sided: defined over [0,∞] double-sided: defined over [ − ∞,∞]

1. Periodic Excitation: Solution Method: Fourier series + Phasor Analysis 2. Nonperiodic Excitation: Solution Method: Fourier Transform Fourier Analysis

Fourier Series Analysis Technique (details later) Example Cont.

Fourier Series Analysis Technique (cont.) Cont.

Fourier Series Analysis Technique (cont.)

Fourier Series: Cosine/Sine Representation The Fourier theorem states that a periodic function f(t) of period T can be cast in the form

Example Fourier series:

Example 11-1: Sawtooth Waveform

Fourier Series: Amplitude/Phase Representation

Example 11-2: Line Spectra (cont.)

Symmetry Considerations dc

Even & Odd Symmetry

This oscillatory behavior of the Fourier series in the neighborhood of discontinuous points is called the Gibbs phenomenon. Example 11-3: M-Waveform

Circuit Applications

Cont.

Example 11-5: RC Circuit cont. Cont.

Example 11-5: RC Circuit cont. Cont.

Average Power

Fourier Series: Exponential Representation

Fourier Transform Fourier Series Analysis Technique Fourier Transform Analysis Technique

Example 11-8: Pulse Train Note that:

Line Spectrum of Pulse Train Spacing between adjacent harmonics is : spectrum becomes continuous

Derivation Of Fourier Transform Fourier Transform Pair

Example 11-9: Rectangular Pulse The wider the pulse, the narrower is its spectrum, and vice versa

Circuit Analysis with Fourier Transform vs(t) = cos 4t Example Cont.

Circuit Analysis with Fourier Transform Applying Inverse Fourier Transform:

The Importance of Phase Information

Summary