Signals and Systems Fourier Series Representation of Periodic Signals

Similar documents
Introduction to Medical Imaging. Signal Processing Basics. Strange Effects. Ever tried to reduce the size of an image and you got this?

Introduction to Digital Signal Processing

EECE 301 Signals & Systems Prof. Mark Fowler

Lab 12. Speed Control of a D.C. motor. Controller Design

cos The points in an Argand diagram which represent the numbers (iii) Write down a polynomial equation of degree 5 which is satisfied by w.

4.5 COLLEGE ALGEBRA 11/5/2015. Property of Logarithms. Solution. If x > 0, y > 0, a > 0, and a 1, then. x = y if and only if log a x = log a y.

Final Exam Solutions June 14, 2006

x(at) 1 x(t t d ) e jωt d X( jω ) x(t)e jω 0t X( j(ω ω 0 )) READING ASSIGNMENTS Table of Easy FT Properties LECTURE OBJECTIVES

Final Exam Solutions June 7, 2004

CH 7. Synchronization Techniques for OFDM Systems

Chapter 2 Fundamentals of OFDM

Digital Signal Processing, Fall 2009

A Quadrature Signals Tutorial: Complex, But Not Complicated. by Richard Lyons

Topic 8 Integration. Exercise 8.2 The fundamental theorem of integral calculus. TOPIC 8 Integration EXERCISE

The University of Texas at Austin Dept. of Electrical and Computer Engineering Final Exam

3G Evolution. OFDM Transmission. Outline. Chapter: Subcarriers in Time Domain. Outline

4NPA. Low Frequency Interface Module for Intercom and Public Address Systems. Fig. 4NPA (L- No )

ANALYSIS ON THE COVERAGE CHARACTERISTICS OF GLONASS CONSTELLATION

Introduce cascaded first-order op-amp filters. Faculty of Electrical and Electronic Engineering

On parameters determination of multi-port equivalent scheme for multi-winding traction transformers

Common Collector & Common Base Amplifier Circuits

GV60 VALORSTAT PLUS OPERATING INSTRUCTIONS. VALORSTAT PLUS GV60 Electronic Ignition Remote Control

The University of Texas at Austin Dept. of Electrical and Computer Engineering Midterm #1

Engineering 1620: High Frequency Effects in BJT Circuits an Introduction Especially for the Friday before Spring Break

DETERMINATION OF ELECTRONIC DISTANCE MEASUREMENT ZERO ERROR USING KALMAN FILTER

ETSI TS V1.2.1 ( )

GEORGIA INSTITUTE OF TECHNOLOGY. SCHOOL of ELECTRICAL and COMPUTER ENGINEERING. ECE 2026 Summer 2018 Lab #8: Filter Design of FIR Filters

1.1 Transmission line basic concepts: Introduction to narrow-band matching networks

Signals and Filtering

Signals and Systems Lecture 6: Fourier Applications

PAPR REDUCTION TECHNIQUES IN OFDM SYSTEMS USING DCT AND IDCT

Signals and Systems Lecture 6: Fourier Applications

Characteristics of BJT-2

The University of Texas at Austin Dept. of Electrical and Computer Engineering Midterm #2

Theory and Proposed Method for Determining Large Signal Return Loss or Hot S22 for Power Amplifiers Using Phase Information

WPCA AMEREN ESP. SEMINAR Understanding ESP Controls. By John Knapik. 2004, General Electric Company

Frequency Estimation of Unbalanced Three-Phase Power Systems Using the Modified Adaptive Filtering

Advanced I/Q Signal Processing for Communication Systems


Instruction Manual for Concept Simulators. Signals and Systems. M. J. Roberts

DSP First, 2/e. y[n] a 1. y[n 1] a 2. y[n 2] b k. x[n k] This Lecture: Lecture 25 Second-Order IIR Filters: 3-Domains.

Lecture 19: Common Emitter Amplifier with Emitter Degeneration.

Logic Design 2013/9/26. Outline. Implementation Technology. Transistor as a Switch. Transistor as a Switch. Transistor as a Switch

Polyphase Modulation Using a FPGA for High-Speed Applications

Real Time Speed Control of a DC Motor Based on its Integer and Non-Integer Models Using PWM Signal

Final Exam. EE313 Signals and Systems. Fall 1999, Prof. Brian L. Evans, Unique No

6.02 Fall 2012 Lecture #13

Grid Impedance Estimation for Islanding Detection and Adaptive Control of Converters

Time and Frequency Characterization of Signals & Systems

Linearization of Two-way Doherty Amplifier by Using Second and Fourth Order Nonlinear Signals

(i) Understanding of the characteristics of linear-phase finite impulse response (FIR) filters

ABSTRACT. KUMAR, MISHA. Control Implementations for High Bandwidth Shunt Active Filter. (Under the direction of Dr Subhashish Bhattacharya).

Lecture XII: Ideal filters

7.1 Amplitude Modulation

(i) Understanding of the characteristics of linear-phase finite impulse response (FIR) filters

Digital Signal Processing

In this project you ll learn how to create a game in which you have to save the Earth from space monsters.

LECTURER NOTE SMJE3163 DSP

READING ASSIGNMENTS LECTURE OBJECTIVES. DOMAINS: Time & Frequency. ELEG-212 Signal Processing and Communications. This Lecture:

IEEE Broadband Wireless Access Working Group <

Pacing Guide for Kindergarten Version GLE Checks for Understanding Vocabulary Envision Textbook Materials

EECS 452 Practice Midterm Exam Solutions Fall 2014

Subtractive Synthesis. Describing a Filter. Filters. CMPT 468: Subtractive Synthesis

Low Cross-Polarization Slab Waveguide Filter for Narrow-Wall Slotted Waveguide Array Antenna with High Gain Horn

Fourier Transform Analysis of Signals and Systems

TALLINN UNIVERSITY OF TECHNOLOGY. IRO0140 Advanced Space Time-Frequency Signal Processing. Individual Work

Online Publication Date: 15 th Jun, 2012 Publisher: Asian Economic and Social Society. Computer Simulation to Generate Gaussian Pulses for UWB Systems

FAN A, 1.2V Low Dropout Linear Regulator for VRM8.5. Features. Description. Applications. Typical Application.

Electrical & Computer Engineering Technology

Lecture 17 Date: Parallel Resonance Active and Passive Filters

A SIMULATION MODEL FOR LIGHT RAIL TRANSPORTATION SYSTEM

Migration ATV11 - ATV12

EECS 452 Midterm Exam Winter 2012

Problem Point Value Your score Topic 1 28 Discrete-Time Filter Analysis 2 24 Upconversion 3 30 Filter Design 4 18 Potpourri Total 100

Higher-Order Differential Energy Operators

THE CITADEL THE MILITARY COLLEGE OF SOUTH CAROLINA. Department of Electrical and Computer Engineering. ELEC 423 Digital Signal Processing

Chapter 2 Infinite Impulse Response (IIR) Filter

A simple automatic classifier of PSK and FSK signals using characteristic cyclic spectrum

RECOMMENDATION ITU-R M.1828

Signal Processing for Speech Applications - Part 2-1. Signal Processing For Speech Applications - Part 2

ECE503: Digital Filter Design Lecture 9

Defeating a Scarcity Mindset

1/24/2017. Electrical resistance

PROBLEM SET 6. Note: This version is preliminary in that it does not yet have instructions for uploading the MATLAB problems.

Basic Signals and Systems

Determination of Antenna Q from the Reflection-Coefficient Data

Robust Digital Redesign of Continuous PID Controller for Power system Using Plant-Input-Mapping

Using SigLab for Production Line Audio Test

Time of Arrival Estimation for WLAN Indoor Positioning Systems using Matrix Pencil Super Resolution Algorithm

EELE503. Modern filter design. Filter Design - Introduction

Digital Video and Audio Processing. Winter term 2002/ 2003 Computer-based exercises

6.02 Fall 2012 Lecture #12

Performance of Extended Super-Orthogonal Space -Time Trellis Coded OFDM system

SGM8521/2/4 150kHz, 4.7µA, Rail-to-Rail I/O CMOS Operational Amplifiers

UNDERSTANDING SIGMA DELTA MODULATION: The Solved and Unsolved Issues

Package: H: TO-252 P: TO-220 S: TO-263. Output Voltage : Blank = Adj 12 = 1.2V 15 = 1.5V 18 = 1.8V 25 = 2.5V 33 = 3.3V 50 = 5.0V 3.3V/3A.

Hardware Manual. STR4 & STR8 Step Motor Drives

6.02 Practice Problems: Modulation & Demodulation

Performance Analysis of BLDC Motor for Sinusoidal and Trapezoidal Back-Emf using MATLAB/SIMULINK Environment

RClamp2451ZA. Ultra Small RailClamp 1-Line, 24V ESD Protection

Transcription:

Signals and Systms Fourir Sris Rprsntation of Priodic Signals Chang-Su Kim

Introduction

Why do W Nd Fourir Analysis? Th ssnc of Fourir analysis is to rprsnt a signal in trms of complx xponntials x t a a a a a a 0t 2 0t 0t 0t 2 0t...... 2 0 2 Many rasons: Almost any signal can b rprsntd as a sris or sum or intgral of complx xponntials Signal is priodic Fourir Sris DT, CT Signal is non-priodic Fourir Transform DT, CT W will larn ths CTFS, DTFS, CTFT, DTFT on by on Rspons of an LTI systm to a complx xponntial is also a complx xponntial with a scald magnitud.

Rspons of LTI systms to Complx Exponntials CT wt H w c H w h d c wt Proprty wt w2t x t a a a 2 3 w t 3 wt w2t y t a H w a H w a H w 2 2 3 3 w t 3 This is usful bcaus almost vry signal can b rprsntd as a sum of complx xponntial functions So w can asily comput th rspons of th systm to almost vry input signal using th abov quation

Rspons of LTI systms to Complx Exponntials DT wn H c wn c H w h[ ] w Proprty wn w2n x[ n] a a a 2 3 y t a H a H a H w n 3 w w n w2 w2n w3 3 2 3 w n This is usful bcaus almost vry signal can b rprsntd as a sum of complx xponntial functions So w can asily comput th rspons of th systm to almost vry input signal using th abov quation

Continuous Tim Fourir Sris How to rprsnt a priodic function xt as x t a a a a a a 0t 2 0t 0t 0t 2 0t...... 2 0 2 continuous tim discrt tim priodic sris CTFS DTFS apriodic transform CTFT DTFT

Harmonically Rlatd Complx Exponntials Basic priodic signal 0t Fundamntal frquncy: Fundamntal priod: 0 T 2 / 0 Th st of harmonically rlatd complx xponntials 0 t 2 / T t { 0,, 2, 3,...} t t Each of th signals is priodic with T Thus, a linar combination of thm is also priodic with priod T: 0t a

Continuous Tim Fourir Sris CTFS Most all in nginring sns functions with priod T=2/w 0 can b rprsntd as a CTFS x t 0t a, T 0t a x t dt T

Exampl T = /4T 0 0 T T 0 T T a x 0t 0t t dt dt T0 T 0 0 sin sin 0T 2. T -5-4 -3-2 - 0 2 3 4 5 a /5 0 -/3 0 / /2 / 0 -/3 0 /5 x t 3 2 3 2 2 cos0t cos 30t 2 3 3w0t w0t w0t 3w0t

Exampl continud Finit Approximation x N t and Gibbs phnomnon N 0 xn t a N t Ovrshoot is always about 9% of th hight of th discontinuity

Exampl 2

Exampl 3

Continuous Tim Fourir Sris CTFT Drivation of th formula x t 0t a, T 0t a x t dt T

Proprtis of CTFS Thr ar 5 proprtis in Tabl 3. in pag 206 of th txtboo Do w hav to rmmbr thm all? No Instad, familiariz yourslf with thm and b abl to driv thm whnvr ncssary Thy all com from th singl formula x t 0t a, T 0t a x t dt T

Slctd Proprtis Givn two priodic signals with sam priod T and fundamntal frquncy 0 =2/T: x t y t a b. Linarity: z t Ax t By t Aa Bb 2. Tim-Shifting: z t x t t a 0 t 00 3. Tim-Rvrsal Flip: z t x t a 4. Conugat Symmtry: z t x t a * *

Slctd Proprtis 5. xt is ral and vn a is ral and vn 6. xt is ral and odd a is purly imaginary and odd 7. Multiplication: z t x t y t alb l l 8. Parsval s Rlation: x t dt T T 2 a 2

Othr Forms of CTFS ral

Discrt Tim Fourir Sris How to rprsnt a priodic function x[n] with priod N as N x[ n] a a a a... a 0 2 / N n 2 / N n 22 / N n N 2 / N n 0 2 N continuous tim discrt tim priodic sris CTFS DTFS apriodic transform CTFT DTFT

Discrt Tim Priod Functions with Priod N x[n]=x[n+n] Fundamntal frquncy 0 =2/N { [n] = 0n = 2/Nn : =0, ±, ±2,...} is a st of signals, consisting of all discrt-tim complx xponntials that ar priodic with priod N [n] = [n+n] [n] = +N [n] = +2N [n] =... Only N distinct signals in th st Thrfor, whil an infinit numbr of complx xponntials ar rquird in CTFS, only N complx xponntials ar usd in DTFS.

Discrt Tim Fourir Sris DTFS All functions with priod N can b rprsntd as a DTFS x[ n] a N N n N a 2 N x[ n] n 2 N n n N : dnots th sum ovr any intrval of N succssiv valus of n. Driv it!

Proprtis

Exampl x[n]

Fourir Sris and LTI Systms

Frquncy Rspons CT DT wt H c wt wn H c wn w c H w h d, x t a t y t a H w 0 0 t 0 w w c H h[ ], x[ n] N 2 N 2 2 N N y[ n] a H a N n n w H w or H ar calld frquncy rsponss.

Exampl Exampl 3.6 in pp. 228 in txtboo

Filtring Filtring is a procss that changs th amplitud and phas of frquncy componnts of an input signal All LTI systms can b thought as filtrs Ex Diffrntiator H dx t y t H dt High frquncy componnt is magnifid, whil low frquncy componnt is supprssd It is a ind of highpass filtr /2 -/2 H

Lowpass, Bandpass and Highpass Filtrs CT stop band H c pass band stop band H c H Idal low-pass filtr LPF H = in pass band 0 in stop band Idal high-pass filtr HPF Idal band-pass filtr BPF c c2

Lowpass, Bandpass and Highpass Filtrs DT LPF H HPF H - c 2-2 BPF H - 2 H is priodic with priod 2 low frquncis: at around =0, 2,... high frquncis: at around =, 3,...

Lowpass Filtring

Highpass Filtring

Exampl of CT Filtr RC lowpass filtr V s + V r - V c + - : output : input t V t V t V t V dt t dv RC c s s c c tan 2 RC t t t t t t RC RC H H H RC H H dt d RC

Exampl of CT Filtr continud It is a lowpass filtr H RC RC 2 tan RC H H /2 /RC -/4 -/2

Exampl of DT Filtr y[n] - ay[n-] = x[n] W now if x[n]= n thn y[n]=h n n n n a H ah H

Exampl of DT Filtr Continud H H a H H H /2 -/2 a a=0.6 LPF b a=-0.6 HPF

Exampl of DT Filtr 2 M N M N n x n y ] [ ] [,, 0 ] [ othrwis M n N for n h M N M N M N h H ] [

Exampl of DT Filtr 2 Continud H a N=M=6 H b N=M=32 It is a lowpass filtr