DSP First, 2/e. This Lecture: Lecture 13 Frequency Response of FIR Filters SINUSOIDAL INPUT SIGNAL. Frequency Domain (sum of sinusoids)
|
|
- Albert McGee
- 5 years ago
- Views:
Transcription
1 DSP First, 2/ Lctur 3 Frquc Rspos of FIR Filtrs READING ASSIGNENTS Tis Lctur: Captr 6, Sctios 6- to 6-5 Otr Radig: Rcitatio FREQUENCY RESPONSE EXAPLES Nt Lctur: Cap. 6, Scts. 6-6, 6-7 & 6-8 Aug , J ccllla & RW Scafr 3 LECTURE OBJECTIVES SINUSOIDAL INPUT SIGNAL DETERINE t FIR FILTER OUTPUT FREQUENCY RESPONSE of FIR AG PLOTTING vs. Frquc AGNITUDE vs. Frq PASE PASE vs. Frq DOAINS: Tim & Frquc Tim-Domai: =tim discrt-tim sigal t cotiuous-tim sigal Frquc Domai sum of siusoids Spctrum vs. f z ANALOG vs. DIGITAL Spctrum vs. omga-at ov ac ad fort QUICKLY Aug , J ccllla & RW Scafr 4 Aug , J ccllla & RW Scafr 5
2 DIGITAL FILTERING FILTERING EXAPLE t t A-to-D FILTER D-to-A CONCENTRATE o t SPECTRU SINUSOIDAL INPUT INPUT = SU of SINUSOIDS T, OUTPUT = SU of SINUSOIDS 7-poit AVERAGER 7 Rmovs cosi B maig its amplitud A smallr 3-poit AVERAGER Cags A sligtl Aug , J ccllla & RW Scafr 8 Aug , J ccllla & RW Scafr 9 7-pt FIR EXAPLE AVG Iput :.2 CAUSAL: Us Prvious cos2 /8 / 4 for 4 SINUSOIDAL RESPONSE INPUT: = SINUSOID OUTPUT: will also a SINUSOID Diffrt Amplitud ad Pas SAE Frquc APLITUDE & PASE CANGE Calld t FREQUENCY RESPONSE Aug , J ccllla & RW Scafr 2 LONGER OUTPUT Aug , J ccllla & RW Scafr 3
3 DCONVDEO: ATLAB GUI DCONVDEO: ATLAB GUI Aug , J ccllla & RW Scafr 4 COPLEX EXPONENTIAL COPLEX EXPONENTIAL A A is t iput sigal a compl potial FIR DIFFERENCE EQUATION Aug , J ccllla & RW Scafr 5 COPLEX EXP OUTPUT COPLEX EXP OUTPUT Us t FIR Diffrc Equatio Us t FIR Diffrc Equatio A A A A Aug , J ccllla & RW Scafr 6 A FREQUENCY RESPONSE FREQUENCY RESPONSE At f DEFINE FREQUENCY At ac frquc, w ca DEFINE FREQUENCY RESPONSE Compl-valud formula as AGNITUDE vs. frquc q Ad PASE vs. frquc Notatio: i plac of Aug , J ccllla & RW Scafr 7 Notatio: i plac of
4 EXAPLE 6. { } {, 2 2, } cos EXPLOIT SYETRY PLOT of FREQ RESPONSE { } {,2,} 2 2cos RESPONSE at Sic 2 2cos agitud is ad Pas is 2 2cos radias Aug , J ccllla & RW Scafr 8 Aug , J ccllla & RW Scafr 9 EXAPLE 6.2 Fid id ad w 2 / 4 is 2 2cos ow EXAPLE 6.2 aswr Fid w 2 Evaluat at 2 2cos 3 / 3 / 4 2 /4 6 /2 Aug , J ccllla & RW Scafr 2 Aug , J ccllla & RW Scafr 2
5 EXAPLE: COSINE INPUT Fid w is ow ad 2cos cos Aug , J ccllla & RW Scafr 22 EX: COSINE INPUT as-2 2cos Fid w 3 4 / 4 3 / cos 2 2cos 3 3 /2 /2 3 2 / 4 / 4 Aug , J ccllla & RW Scafr 24 EX: COSINE INPUT 2cos Fid w 3 4 2cos Us Liarit / 4 / / 4 / 4 Aug , J ccllla & RW Scafr 23 ATLAB: FREQUENCY RESPONSE = frqz,,ww VECTOR cotais Filtr Cofficits SP-First: = frz,,ww FILTER COEFFICIENTS { } Aug , J ccllla & RW Scafr 25
6 LTI SYSTES LTI: Liar & Tim-Ivariat i COPLETELY CARACTERIZED : FREQUENCY RESPONSE, or IPULSE RESPONSE Siusoid IN -----> Siusoid OUT At t SAE Frquc Tim & Frquc Rlatio Gt Frquc Rspos from r is t FIR cas: IPULSE RESPONSE Aug , J ccllla & RW Scafr 26 Aug , J ccllla & RW Scafr 27 BLOCK DIAGRAS UNIT-DELAY SYSTE Equivalt Rprstatios Fid ad for { } {, } Aug , J ccllla & RW Scafr 28 Aug , J ccllla & RW Scafr 29
7 FIRST DIFFERENCE SYSTE DLTI Dmo wit Siusoids Fid ad Equatio : for t Diffrc FILTER = Aug , J ccllla & RW Scafr 3 CASCADE SYSTES Aug , J ccllla & RW Scafr 3 CASCADE EQUIVALENT Dos t ordr of S &S 2 mattr? NO, LTI SYSTES ca rarragd!!! WAT ARE TE FILTER COEFFS? { } WAT is t ovrall FREQUENCY RESPONSE? 2 S S 2 2 Aug , J ccllla & RW Scafr 32 Aug , J ccllla & RW Scafr 2 33
READING ASSIGNMENTS LECTURE OBJECTIVES. DOMAINS: Time & Frequency. ELEG-212 Signal Processing and Communications. This Lecture:
ELEG- Sigal Procssig ad Commuicatios Lctur Frqucy Rspos of FIR Filtrs READING ASSIGNENTS This Lctur: Chaptr 6, Sctios 6-, 6-, 6-3, 6-4, & 6-5 Othr Radig: Rcitatio: Chaptr 6 FREQUENCY RESPONSE EXAPLES Nxt
More informationDSP 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.
DSP First, / Lctur 5 Scod-Ordr IIR Filtrs: 3-Domais READING ASSIGNMENTS Tis Lctur: Captr, Scts. - ad - Otr Radig: Exampl of IIR LPF i Sct. -3 POLES & ZEROS Frquc Rspos Impuls Rspos Aug 6 3-6, J McCllla
More informationDSP First, 2/e. FIR Filters. This Lecture: Lecture 11 FIR Filtering Intro INTRODUCE FILTERING IDEA. Chapter 5, Sects. 5-1, 5-2, 5-3 & 5-4 (partial)
DSP First, /e Lecture FIR Filterig Itro READING ASSIGNENTS Tis Lecture: Capter 5, Sects. 5-, 5-, 5- & 5- (partial) Oter Readig: Net Lecture: C. 5, Sects 5-, 5-6, 5-7 & 5-8 CONVOLUTION Aug 6-6, JH cclella
More informationREADING ASSIGNMENTS LECTURE OBJECTIVES OVERVIEW. ELEG-212 Signal Processing and Communications. This Lecture:
ELEG-212 Signal Processing and Communications Lecture 11 Linearity & Time-Invariance Convolution READING ASSIGNENTS This Lecture: Chapter 5, Sections 5-5 and 5-6 Section 5-4 will be covered, but not in
More informationEECE 301 Signals & Systems Prof. Mark Fowler
EECE 3 Sigals & Systems Prof. Mark Fowler Note Set #6 D-T Systems: DTFT Aalysis of DT Systems Readig Assigmet: Sectios 5.5 & 5.6 of Kame ad Heck / Course Flow Diagram The arrows here show coceptual flow
More informationNotes on Orthogonal Frequency Division Multiplexing (OFDM)
Notes on Orthogonal Frequency Division Multiplexing (OFDM). Discrete Fourier ransfor As a reinder, the analytic fors of Fourier and inverse Fourier transfors are X f x t t, f dt x t exp j2 ft dt (.) where
More informationLecture 17 z-transforms 2
Lecture 17 z-transforms 2 Fundamentals of Digital Signal Processing Spring, 2012 Wei-Ta Chu 2012/5/3 1 Factoring z-polynomials We can also factor z-transform polynomials to break down a large system into
More informationLab S-5: DLTI GUI and Nulling Filters. Please read through the information below prior to attending your lab.
DSP First, 2e Signal Processing First Lab S-5: DLTI GUI and Nulling Filters Pre-Lab: Read the Pre-Lab and do all the exercises in the Pre-Lab section prior to attending lab. Verification: The Exercise
More informationELEG 5693 Wireless Communications Ch. 7 Multicarrier Modulation
Dpartmt of Elctrical Egirig Uivrsit of Arasas ELEG 5693 Wirlss Commuicatios C. 7 Multicarrir Modulatio Dr. Jigia Wu wu@uar.du OUTLIE Itroductio OFDM Callgs i Multicarrir Sstms ITRODUCTIO 3 Multicarrir
More informationLecture 4 Frequency Response of FIR Systems (II)
EE3054 Signals and Systems Lecture 4 Frequency Response of FIR Systems (II Yao Wang Polytechnic University Most of the slides included are extracted from lecture presentations prepared by McClellan and
More information5 Constellation for Digital Modulation Schemes
5 Constellation for Digital Modulation Schees 5.1 PAM Definition 5.1. Recall, fro 3.6, that PAM signal wavefors are represented as s (t) = A p(t), 1 M where p(t) is a pulse and A A. 5.2. Clearly, PAM signals
More informationFrequency Division Multiplexing Spring 2011 Lecture #14. Sinusoids and LTI Systems. Periodic Sequences. x[n] = x[n + N]
Frequency Division Multiplexing 6.02 Spring 20 Lecture #4 complex exponentials discrete-time Fourier series spectral coefficients band-limited signals To engineer the sharing of a channel through frequency
More informationBasic Signals and Systems
Chapter 2 Basic Signals and Systems A large part of this chapter is taken from: C.S. Burrus, J.H. McClellan, A.V. Oppenheim, T.W. Parks, R.W. Schafer, and H. W. Schüssler: Computer-based exercises for
More informationThe University of Texas at Austin Dept. of Electrical and Computer Engineering Midterm #2
The University of Texas at Austin Dept. of Electrical and Computer Engineering Midterm #2 Date: November 18, 2010 Course: EE 313 Evans Name: Last, First The exam is scheduled to last 75 minutes. Open books
More informationExperiment 7: Frequency Modulation and Phase Locked Loops October 11, 2006
Experient 7: Frequency Modulation and Phase ocked oops October 11, 2006 Frequency Modulation Norally, we consider a voltage wave for with a fixed frequency of the for v(t) = V sin(ω c t + θ), (1) where
More informationDigital Video and Audio Processing. Winter term 2002/ 2003 Computer-based exercises
Digital Video and Audio Processing Winter term 2002/ 2003 Computer-based exercises Rudolf Mester Institut für Angewandte Physik Johann Wolfgang Goethe-Universität Frankfurt am Main 6th November 2002 Chapter
More informationLab 8: Frequency Response and Filtering
Lab 8: Frequency Response and Filtering Pre-Lab and Warm-Up: You should read at least the Pre-Lab and Warm-up sections of this lab assignment and go over all exercises in the Pre-Lab section before going
More informationDefinition Recall, from 6.7, that PAM signal waveforms are represented
6.4 Constellations for Digital Modulation Schees 6.4.1 PAM Definition 6.45. Recall, fro 6.7, that PAM signal wavefors are represented as s (t) = A p(t), 1 M where p(t) is a pulse and A A. 6.46. Clearly,
More informationDSP First Lab 08: Frequency Response: Bandpass and Nulling Filters
DSP First Lab 08: Frequency Response: Bandpass and Nulling Filters Pre-Lab and Warm-Up: You should read at least the Pre-Lab and Warm-up sections of this lab assignment and go over all exercises in the
More informationSIG: Signal-Processing
TH Köln - Technology, Arts, Sciences Prof. Dr. Rainer Bartz SIG: Signal-Processing Copendiu (6) Prof. Dr.-Ing. Rainer Bartz rainer.bartz@th-koeln.de Contact: eail: website: office: rainer.bartz@th-koeln.de
More informationExtraction and Representation of Features, Spring Lecture 5: Speech and Audio Analysis. Zheng-Hua Tan
Extractio ad Rrstatio of Faturs, Srig 0 Lctur 5: Sch ad Audio Aalysis Zhg-Hua Ta Multimdia Iformatio ad Sigal Procssig Dartmt of Elctroic Systms Aalborg Uivrsity, Dmar t@s.aau.d Extractio of Faturs, V,
More informationGEORGIA INSTITUTE OF TECHNOLOGY. SCHOOL of ELECTRICAL and COMPUTER ENGINEERING. ECE 2026 Summer 2018 Lab #8: Filter Design of FIR Filters
GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL and COMPUTER ENGINEERING ECE 2026 Summer 2018 Lab #8: Filter Design of FIR Filters Date: 19. Jul 2018 Pre-Lab: You should read the Pre-Lab section of
More informationPRACTICAL FILTER DESIGN & IMPLEMENTATION LAB
1 of 7 PRACTICAL FILTER DESIGN & IMPLEMENTATION LAB BEFORE YOU BEGIN PREREQUISITE LABS Itroductio to Oscilloscope Itroductio to Arbitrary/Fuctio Geerator EXPECTED KNOWLEDGE Uderstadig of LTI systems. Laplace
More informationLecture #2. EE 313 Linear Systems and Signals
Lecture #2 EE 313 Linear Systems and Signals Preview of today s lecture What is a signal and what is a system? o Define the concepts of a signal and a system o Why? This is essential for a course on Signals
More informationTime and Frequency Characterization of Signals & Systems
Tim ad Frqucy Characrizaio of Sigals & Sysms Frqucy Domai Characrizaio hrough muliplicaio of Fourir Trasform of ipu sigal ad sysm frqucy rspos Trasfr Fucio Tim Domai Characrizaio hrough covoluio of ipu
More informationECE 6560 Multirate Signal Processing Analysis & Synthesis Notes
Multirate Signal Processing Analysis & Synthesis Notes Dr. Bradley J. Bazuin Western Michigan University College of Engineering and Applied Sciences Departent of Electrical and Coputer Engineering 1903
More informationWindowing High-Resolution ADC Data Part 2
Windoing High-Resolution DC Data art Josh Carnes pplications Engineer, ational Seiconductor Corp. bstract nalyzing data fro DCs requires the use of indoing functions for spectral estiation and analysis
More informationLecture 3 Complex Exponential Signals
Lecture 3 Complex Exponential Signals Fundamentals of Digital Signal Processing Spring, 2012 Wei-Ta Chu 2012/3/1 1 Review of Complex Numbers Using Euler s famous formula for the complex exponential The
More informationPhysics 132 Quiz # 23
Name (please (please print) print) Physics 132 Quiz # 23 I. I. The The current in in an an ac ac circuit is is represented by by a phasor.the value of of the the current at at some time time t t is is
More informationELEC2202 Communications Engineering Laboratory Frequency Modulation (FM)
ELEC Counications Engineering Laboratory ---- Frequency Modulation (FM) 1. Objectives On copletion of this laboratory you will be failiar with: Frequency odulators (FM), Modulation index, Bandwidth, FM
More informationELEC 546 Lecture #9. Orthogonal Frequency Division Multiplexing (OFDM): Basic OFDM System
ELEC 546 Lecture #9 Ortogonal Frequency Division Multiplexing (OFDM): Basic OFDM System Outline Motivations Diagonalization of Vector Cannels Transmission of one OFDM Symbol Transmission of sequence of
More informationSignals and Systems Using MATLAB
Signals and Systems Using MATLAB Second Edition Luis F. Chaparro Department of Electrical and Computer Engineering University of Pittsburgh Pittsburgh, PA, USA AMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK
More informationNotes on Optical Amplifiers
Notes on Optical Amplifiers Optical amplifiers typically use energy transitions such as those in atomic media or electron/hole recombination in semiconductors. In optical amplifiers that use semiconductor
More informationGeorge Mason University ECE 201: Introduction to Signal Analysis Spring 2017
Assigned: March 7, 017 Due Date: Week of April 10, 017 George Mason University ECE 01: Introduction to Signal Analysis Spring 017 Laboratory Project #7 Due Date Your lab report must be submitted on blackboard
More informationElectrical and Telecommunication Engineering Technology NEW YORK CITY COLLEGE OF TECHNOLOGY THE CITY UNIVERSITY OF NEW YORK
NEW YORK CITY COLLEGE OF TECHNOLOGY THE CITY UNIVERSITY OF NEW YORK DEPARTMENT: Electrical and Telecommunication Engineering Technology SUBJECT CODE AND TITLE: DESCRIPTION: REQUIRED TCET 4202 Advanced
More informationAdditive Synthesis, Amplitude Modulation and Frequency Modulation
Additive Synthesis, Aplitude Modulation and Frequency Modulation Pro Eduardo R Miranda Varèse-Gastproessor eduardo.iranda@btinternet.co Electronic Music Studio TU Berlin Institute o Counications Research
More informationProject 2 - Speech Detection with FIR Filters
Project 2 - Speech Detection with FIR Filters ECE505, Fall 2015 EECS, University of Tennessee (Due 10/30) 1 Objective The project introduces a practical application where sinusoidal signals are used to
More informationMassachusetts Institute of Technology Dept. of Electrical Engineering and Computer Science Fall Semester, Introduction to EECS 2.
Massachusetts Istitute of Techology Dept. of Electrical Egieerig ad Computer Sciece Fall Semester, 006 6.08 Itroductio to EECS Prelab Exercises Pre-Lab#3 Modulatio, demodulatio, ad filterig are itegral
More informationImplementation of sound effects in DSP
Implementation of sound effects in DSP Alfredo Ricci Vásquez - Juan Carlos Bucheli García 1 Introduction Sound is one of the physical phenomena that has intrigued human race during all history. Since ancients
More informationijdsp Workshop: Exercise 2012 DSP Exercise Objectives
Objectives DSP Exercise The objective of this exercise is to provide hands-on experiences on ijdsp. It consists of three parts covering frequency response of LTI systems, pole/zero locations with the frequency
More informationThe University of Texas at Austin Dept. of Electrical and Computer Engineering Final Exam
The University of Texas at Austin Dept. of Electrical and Computer Engineering Final Exam Date: December 18, 2017 Course: EE 313 Evans Name: Last, First The exam is scheduled to last three hours. Open
More informationECE 6560 Multirate Signal Processing Decimation and Interpolation
ECE 656 ultiate Signal Pocessing Deciation and Intepolation D. Badle J. Bazuin Westen icigan Univesit College of Engineeing and Applied Sciences Depatent of Electical and Copute Engineeing 93 W. icigan
More information信號與系統 Signals and Systems
Sprig 2 信號與系統 Sigals ad Systems Chapter SS- Sigals ad Systems Feg-Li Lia NTU-EE Feb Ju Figures ad images used i these lecture otes are adopted from Sigals & Systems by Ala V. Oppeheim ad Ala S. Willsky,
More informationELEC-C5230 Digitaalisen signaalinkäsittelyn perusteet
ELEC-C5230 Digitaalisen signaalinkäsittelyn perusteet Lecture 10: Summary Taneli Riihonen 16.05.2016 Lecture 10 in Course Book Sanjit K. Mitra, Digital Signal Processing: A Computer-Based Approach, 4th
More informationMutual Inductance. L (1) l
Mutual Inductance Developers Objectives Preparation Background JD Mitchell, AB Overby and K Meehan The objectives of this experient are to design and construct a transforer and deterine its losses as well
More information信號與系統 Signals and Systems
Sprig 24 信號與系統 Sigals ad Systems Chapter SS- Sigals ad Systems Feg-Li Lia NTU-EE Feb4 Ju4 Figures ad images used i these lecture otes are adopted from Sigals & Systems by Ala V. Oppeheim ad Ala S. Willsky,
More informationDSP First, 2/e. LECTURE #1 Sinusoids. Aug , JH McClellan & RW Schafer
DSP First, 2/e LECTURE #1 Sinusoids Aug 2016 2003-2016, JH McClellan & RW Schafer 1 License Info for DSPFirst Slides This work released under a Creative Commons License with the following terms: Attribution
More information5.3 Sum and Difference Identities
SECTION 5.3 Sum and Difference Identities 21 5.3 Sum and Difference Identities Wat you ll learn about Cosine of a Difference Cosine of a Sum Sine of a Difference or Sum Tangent of a Difference or Sum Verifying
More information18 Discrete-Time Processing of Continuous-Time Signals
18 Discrete-Time Processing of Continuous-Time Signals Recommended Problems P18.1 Consider the system in Figure P18.1-1 for discrete-time processing of a continuoustime signal using sampling period T,
More informationHere are some of Matlab s complex number operators: conj Complex conjugate abs Magnitude. Angle (or phase) in radians
Lab #2: Complex Exponentials Adding Sinusoids Warm-Up/Pre-Lab (section 2): You may do these warm-up exercises at the start of the lab period, or you may do them in advance before coming to the lab. You
More informationLinear Time-Invariant Systems
Linear Time-Invariant Systems Modules: Wideband True RMS Meter, Audio Oscillator, Utilities, Digital Utilities, Twin Pulse Generator, Tuneable LPF, 100-kHz Channel Filters, Phase Shifter, Quadrature Phase
More information1.5 The voltage V is given as V=RI, where R and I are resistance matrix and I current vector. Evaluate V given that
Sheet (1) 1.1 The voltage across a discharging capacitor is v(t)=10(1 e 0.2t ) Generate a table of voltage, v(t), versus time, t, for t = 0 to 50 seconds with increment of 5 s. 1.2 Use MATLAB to evaluate
More informationSmarter Balanced Assessment Consortium Claims, Targets, and Standard Alignment for Math
Sarter Balanced Assessent Consortiu Clais, s, Stard Alignent for Math The Sarter Balanced Assessent Consortiu (SBAC) has created a hierarchy coprised of clais targets that together can be used to ake stateents
More informationReal and Complex Modulation
Real and Complex Modulation TIPL 4708 Presented by Matt Guibord Prepared by Matt Guibord 1 What is modulation? Modulation is the act of changing a carrier signal s properties (amplitude, phase, frequency)
More informationGUJARAT TECHNOLOGICAL UNIVERSITY
Type of course: Compulsory GUJARAT TECHNOLOGICAL UNIVERSITY SUBJECT NAME: Digital Signal Processing SUBJECT CODE: 2171003 B.E. 7 th SEMESTER Prerequisite: Higher Engineering Mathematics, Different Transforms
More informationAdaptive Harmonic IIR Notch Filter with Varying Notch Bandwidth and Convergence Factor
Journal of Counication and Coputer (4 484-49 doi:.765/548-779/4.6. D DAVID PUBLISHING Adaptive Haronic IIR Notch Filter with Varying Notch Bandwidth and Convergence Factor Li Tan, Jean Jiang, and Liango
More informationII Year (04 Semester) EE6403 Discrete Time Systems and Signal Processing
Class Subject Code Subject II Year (04 Semester) EE6403 Discrete Time Systems and Signal Processing 1.CONTENT LIST: Introduction to Unit I - Signals and Systems 2. SKILLS ADDRESSED: Listening 3. OBJECTIVE
More informationGEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL and COMPUTER ENGINEERING. ECE 2025 Fall 1999 Lab #7: Frequency Response & Bandpass Filters
GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL and COMPUTER ENGINEERING ECE 2025 Fall 1999 Lab #7: Frequency Response & Bandpass Filters Date: 12 18 Oct 1999 This is the official Lab #7 description;
More informationLecture 3, Multirate Signal Processing
Lecture 3, Multirate Signal Processing Frequency Response If we have coefficients of an Finite Impulse Response (FIR) filter h, or in general the impulse response, its frequency response becomes (using
More informationFIBER OPTICS. Prof. R.K. Shevgaonkar. Department of Electrical Engineering. Indian Institute of Technology, Bombay. Lecture: 24. Optical Receivers-
FIBER OPTICS Prof. R.K. Shevgaonkar Department of Electrical Engineering Indian Institute of Technology, Bombay Lecture: 24 Optical Receivers- Receiver Sensitivity Degradation Fiber Optics, Prof. R.K.
More informationOTC Statistics of High- and Low-Frequency Motions of a Moored Tanker. sensitive to lateral loading such as the SAL5 and
OTC 61 78 Statistics of High- and Low-Frequency Motions of a Moored Tanker by J.A..Pinkster, Maritie Research Inst. Netherlands Copyright 1989, Offshore Technology Conference This paper was presented at
More informationLesson 1: Introduction to Control Systems Technology
8/7/05 Lesson : Introduction to ontrol Systes Technology ET 48a Autoatic ontrol Systes Technology lessonet48a.pptx Learning Objectives After this presentation you will be able to: Explain the function
More informationIntroduction to Medical Imaging. Signal Processing Basics. Strange Effects. Ever tried to reduce the size of an image and you got this?
Strang Effcts Introduction to Mdical Imaging Evr trid to rduc th siz of an imag and you got this? Signal Procssing Basics Klaus Mullr Computr Scinc Dpartmnt Stony Brook Univrsity W call this ffct aliasing
More informationElectrical & Computer Engineering Technology
Electrical & Computer Engineering Technology EET 419C Digital Signal Processing Laboratory Experiments by Masood Ejaz Experiment # 1 Quantization of Analog Signals and Calculation of Quantized noise Objective:
More informationVHDL-AMS Behavioral Modeling and Simulation of M-QAM transceiver system
SETT 7 th nternational Conference: Sciences Of Electronic, Technologies Of nforation And Telecounications March 5-9, 7 TUNSA VHDL-AMS Behavioral Modeling and Siulation of M-AM transceiver syste Kari JABER,
More informationECE 5650/4650 Exam II November 20, 2018 Name:
ECE 5650/4650 Exam II November 0, 08 Name: Take-Home Exam Honor Code This being a take-home exam a strict honor code is assumed. Each person is to do his/her own work. Bring any questions you have about
More information1 Introduction and Overview
DSP First, 2e Lab S-0: Complex Exponentials Adding Sinusoids Signal Processing First Pre-Lab: Read the Pre-Lab and do all the exercises in the Pre-Lab section prior to attending lab. Verification: The
More informationMidterm 1. Total. Name of Student on Your Left: Name of Student on Your Right: EE 20N: Structure and Interpretation of Signals and Systems
EE 20N: Structure and Interpretation of Signals and Systems Midterm 1 12:40-2:00, February 19 Notes: There are five questions on this midterm. Answer each question part in the space below it, using the
More informationBiomedical Signals. Signals and Images in Medicine Dr Nabeel Anwar
Biomedical Signals Signals and Images in Medicine Dr Nabeel Anwar Noise Removal: Time Domain Techniques 1. Synchronized Averaging (covered in lecture 1) 2. Moving Average Filters (today s topic) 3. Derivative
More informationDesign and Implementation of Block Based Transpose Form FIR Filter
Design and Ipleentation of Bloc Based Transpose For FIR Filter O. Venata rishna 1, Dr. C. Venata Narasihulu 2, Dr.. Satya Prasad 3 1 (ECE, CVR College of Engineering, Hyderabad, India) 2 (ECE, Geethanjali
More informationThe University of Texas at Austin Dept. of Electrical and Computer Engineering Midterm #1
The University of Texas at Austin Dept. of Electrical and Computer Engineering Midterm #1 Date: October 18, 2013 Course: EE 445S Evans Name: Last, First The exam is scheduled to last 50 minutes. Open books
More information2. Pre-requisites - CGS 2425 and MAC 2313; Corequisite - MAP 2302 and one of: EEL 3105, MAS 3114 or MAS 4105
EEL 3135 Introduction to Signals and Systems 1. Catalog Description (3 credits) Continuous-time and discrete-time signal analysis including Fourier series and transforms; sampling; continuous-time and
More information1. page xviii, line 23:... conventional. Part of the reason for this...
DSP First ERRATA. These are mostly typos, double words, misspellings, etc. Underline is not used in the book, so I ve used it to denote changes. JMcClellan, February 22, 2002 1. page xviii, line 23:...
More informationSignal Processing. Naureen Ghani. December 9, 2017
Signal Processing Naureen Ghani December 9, 27 Introduction Signal processing is used to enhance signal components in noisy measurements. It is especially important in analyzing time-series data in neuroscience.
More informationNOISE IN A SPECTRUM ANALYZER. Carlo F.M. Carobbi and Fabio Ferrini Department of Information Engineering University of Florence, Italy
NOISE IN A SPECTRUM ANALYZER by Carlo.M. Carobbi ad abio errii Departet of Iforatio Egieerig Uiversity of lorece, Italy 1. OBJECTIVE The objective is to easure the oise figure of a spectru aalyzer with
More informationEECS 242: Analysis of Memoryless Weakly Non-Lineary Systems
EECS 242: Analysis of Memoryless Weakly Non-Lineary Systems Review of Linear Systems Linear: Linear Complete description of a general time-varying linear system. Note output cannot have a DC offset! Time-invariant
More informationSpring 2018 EE 445S Real-Time Digital Signal Processing Laboratory Prof. Evans. Homework #1 Sinusoids, Transforms and Transfer Functions
Spring 2018 EE 445S Real-Time Digital Signal Processing Laboratory Prof. Homework #1 Sinusoids, Transforms and Transfer Functions Assigned on Friday, February 2, 2018 Due on Friday, February 9, 2018, by
More information1 PeZ: Introduction. 1.1 Controls for PeZ using pezdemo. Lab 15b: FIR Filter Design and PeZ: The z, n, and O! Domains
DSP First, 2e Signal Processing First Lab 5b: FIR Filter Design and PeZ: The z, n, and O! Domains The lab report/verification will be done by filling in the last page of this handout which addresses a
More informationDigital Filters IIR (& Their Corresponding Analog Filters) Week Date Lecture Title
http://elec3004.com Digital Filters IIR (& Their Corresponding Analog Filters) 2017 School of Information Technology and Electrical Engineering at The University of Queensland Lecture Schedule: Week Date
More informationAC Fundamental. Simple Loop Generator: Whenever a conductor moves in a magnetic field, an emf is induced in it.
A Fundaental Siple oop Generator: Whenever a conductor oves in a agnetic field, an ef is induced in it. Fig.: Siple oop Generator The aount of EMF induced into a coil cutting the agnetic lines of force
More informationUNIVERSITY OF NORTH CAROLINA AT CHARLOTTE Department of Electrical and Computer Engineering
UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE Department of Electrical and Computer Engineering EXPERIMENT 9 FOURIER SERIES OBJECTIVES After completing this experiment, the student will have Compose arbitrary
More informationModulation Technique:
Modulation Tehnique: There are two basi failies of ontinuous-wave odulation tehniques: 1. Aplitude odulation, in whih the aplitude of a sinusoidal arrier is varied in aordane with an inoing essage signal.
More informationpresented on yfra.,- /4/,'d)
AN ABSTRACT OF THE THESIS OF in Jaes Willia Walker for the MSEE (Nae) (Degree) Electrical Engineering presented on yfra.,- /4/,'d) (Date) Title: A PROGRAMMED INTRODUCTION TO MODULATION TECHNIQUES Abstract
More informationPoles and Zeros of H(s), Analog Computers and Active Filters
Poles and Zeros of H(s), Analog Computers and Active Filters Physics116A, Draft10/28/09 D. Pellett LRC Filter Poles and Zeros Pole structure same for all three functions (two poles) HR has two poles and
More informationClass #16: Experiment Matlab and Data Analysis
Class #16: Experiment Matlab and Data Analysis Purpose: The objective of this experiment is to add to our Matlab skill set so that data can be easily plotted and analyzed with simple tools. Background:
More informationThe University of Texas at Austin Dept. of Electrical and Computer Engineering Midterm #2. Prof. Brian L. Evans
The University of Texas at Austin Dept. of Electrical and Computer Engineering Midterm #2 Prof. Brian L. Evans Date: December 5, 2014 Course: EE 445S Name: Last, First The exam is scheduled to last 50
More informationBEST System Identification Toolkit User s Manual
CAEN ELS s.r.l. July 2017 Contents 1 Document Revisions 4 2 Introduction 5 3 Installation 6 4 Hardware overview 7 5 Software overview 9 5.1 Configuration tab............................. 10 5.1.1 Sweep
More information2. Continuous-wave modulation
. Continuous-wave odulation 1. Appliation goal We study representations in tie and frequeny doain for two types of ontinuous wave odulation: aplitude odulation (AM) and frequeny odulation (FM).. Continuous-wave
More informationA.C. FUNDA- MENTALS. Learning Objectives
C H A P T E R Learning Objectives Generation of Alternating Voltages and Currents Alternate Method for the Equations of Alternating Voltages and currents Siple Wavefors Cycle Different Fors of E.M.F. Equation
More informationEE 422G - Signals and Systems Laboratory
EE 422G - Signals and Systems Laboratory Lab 3 FIR Filters Written by Kevin D. Donohue Department of Electrical and Computer Engineering University of Kentucky Lexington, KY 40506 September 19, 2015 Objectives:
More informationANALOGUE & DIGITAL COMMUNICATION
1 ANALOGUE & DIGITAL COMMUNICATION Syed M. Zafi S. Shah & Uair Mujtaba Qureshi Lectures 5-6: Aplitude Modulation Part 1 Todays topics Recap of Advantages of Modulation Analog Modulation Defining Generation
More informationLab P-4: AM and FM Sinusoidal Signals. We have spent a lot of time learning about the properties of sinusoidal waveforms of the form: ) X
DSP First, 2e Signal Processing First Lab P-4: AM and FM Sinusoidal Signals Pre-Lab and Warm-Up: You should read at least the Pre-Lab and Warm-up sections of this lab assignment and go over all exercises
More information1VLBA Correlator M e m o No.-XZ(870206)
1VLBA Correlator M e m o No.-XZ(870206) National Radio Astronomy Observatory Charlottesville, Virginia 21 January, 1987 To: VLBA Correlator Memo Series From: John Benson Subject: Tests of the VLBA FX-style
More informationCHARACTERIZATION and modeling of large-signal
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 53, NO. 2, APRIL 2004 341 A Nonlinear Dynamic Model for Performance Analysis of Large-Signal Amplifiers in Communication Systems Domenico Mirri,
More information5.1 Graphing Sine and Cosine Functions.notebook. Chapter 5: Trigonometric Functions and Graphs
Chapter 5: Trigonometric Functions and Graphs 1 Chapter 5 5.1 Graphing Sine and Cosine Functions Pages 222 237 Complete the following table using your calculator. Round answers to the nearest tenth. 2
More informationZERO LAG DATA SMOOTHERS By John Ehlers
ZERO LAG DATA SMOOTHERS By John Ehlers No causal filter can ever predict the future. As a matter of fact, the laws of nature demand that filters all must have lag. However, if we assume steady state conditions
More informationLab 2: Common Source Amplifier.
epartet of Electrical ad Coputer Egieerig Fall 1 Lab : Coo Source plifier. 1. OBJECTIVES Study ad characterize Coo Source aplifier: Bias CS ap usig MOSFET curret irror; Measure gai of CS ap with resistive
More informationThe PAPR and Simple PAPR Reduction of the 2D Spreading Based Communication Systems
RADIOENGINEERING, VOL. 9, NO., APRIL 7 The PAPR and Siple PAPR Reduction of the D Spreading Based Counication Systes Jiří BLUMENSTEIN, Zbyněk FEDRA Dept. of Radio Electronics, Brno University of Technology,
More informationPerformance Analysis of FIR Digital Filter Design Technique and Implementation
Performance Analysis of FIR Digital Filter Design Technique and Implementation. ohd. Sayeeduddin Habeeb and Zeeshan Ahmad Department of Electrical Engineering, King Khalid University, Abha, Kingdom of
More informationEXPERIMENTAL VERIFICATION OF SINUSOIDAL APPROXIMATION IN ANALYSIS OF THREE-PHASE TWELVE-PULSE OUTPUT VOLTAGE TYPE RECTIFIERS
th INTERNATIONAL SYPOSIU on POWER ELECTRONICS - Ee 9 XV eđunarodni sipoziju Energetska elektronika Ee 9 NOVI SAD, REPUBLIC OF SERBIA, October 8 th - th, 9 EXPERIENTAL VERIFICATION OF SINUSOIDAL APPROXIATION
More information