ELEC SIGNALS and SYSTEMS. Text Book:
|
|
- Barnard Haynes
- 5 years ago
- Views:
Transcription
1 ELEC SIGNALS and SYSTEMS PROF. KALYANA C. VELUVOLU IT1-817 Tel: School of Electronics Engineering Kyungpook National University Text Book: MJ Roberts, "Signals and Systems: Analysis using Transform Methods and Matlab", 2e, McGraw Hill, Simon Haykins and Barry Van Veen, Signals and Systems (2nd Ed.), J ohn Wiley & Sons, References: Mrinal Mandal and Amir Asif, Continuous and Discrete Time Signals and Systems, Cambridge University Press, Oppenheim, Alan V., and A. S. Willsky. Signals and Systems. Prentice Hall, Week # Syllabus 1 Introduction to Signals and Systems (Chapter 1) 2 Mathematical Descriptions of Continuous-Time Signals (Chapter 2) 3 Discrete-time Signal Description (Chapter 3) 4 Description of Systems (Chapter 4) 5 Time-Domain System Analysis (Chapter 5) 8 9 Continuous-time Fourier Methods (Chapter 6) 10 Discrete-time Fourier Methods (Chapter 7) 11 The Laplace Transforms (Chapter 8) 12 The Laplace Transforms / The Z Transforms (Chapter 8/9) 6 Time-Domain System Analysis (Chapter 5) 13 The Z Transforms (Chapter 9) 7 Continuous-time Fourier Methods (Chapter 6) 14 Applications LECTURE NOTES DOWNLOAD LECTURE NOTES DOWNLOAD
2 GRADING Assignments Mid term Exam Final Exam Attendance 20% 38 % 38% 4 % Assignments constitute 20% of the grading. A total 3-4 Assignments will be given and students are required to submit it by the due date. Signals and Systems - Introduction A signal is any physical phenomenon which conveys information Systems respond to signals and produce new signals Excitation signals are applied at system inputs and response signals are produced at system outputs Copying of the solutions from solution manuals and from friends will be penalized. 5 6 A Communication System as a System Example A communication system has an information signal plus noise signals This is an example of a system that consists of an interconnection of smaller systems A Communication System Example Snapshot of Pathfinder exploring the surface of Mars. (Top figure) The 70-meter (230-foot) diameter antenna located at Canberra, Australia. (Bottom figure) The surface of the 70-meter reflector must remain accurate within a fraction of the signal s wavelength. (Courtesy of Jet Propulsion Laboratory.) The minimum distance from the Earth to Mars is about 54.6 million km. The farthest apart they can be is about 401 million km. 7
3 Signal Types Conversions Between Signal Types Sampling Quantizing Encoding 9 10 Message Encoded in ASCII Noisy Message Encoded in ASCII Progressively noisier signals 11 12
4 Bit Recovery in a Digital Signal Using Filtering Image Filtering to Aid Perception Original X-Ray Image Filtered X-Ray Image Discrete-Time Systems In a discrete-time system events occur at points in time but not between those points. The most important example is a digital computer. Significant events occur at the end of each clock cycle and nothing of significance (to the computer user) happens between those points in time. Discrete-time systems can be described by difference (not differential) equations. Let a discrete-time system generate an excitation signal y[n] where n is the number of discrete-time intervals that have elapsed since some beginning time n = 0. Then, for example a simple discrete-time system might be described by y[ n]= 1.97y[ n 1] y[ n 2] Discrete-Time Systems The equation says in words y[ n]= 1.97y[ n 1] y[ n 2] The signal value at any time n is 1.97 times the signal value at the previous time [n -1] minus the signal value at the time before that [n - 2]. If we know the signal value at any two times, we can compute its value at all other (discrete) times. This is quite similar to a second-order differential equation for which knowledge of two independent initial conditions allows us to find the solution for all time and the solution methods are very similar
5 Discrete-Time Systems y[ n]= 1.97y[ n 1] y[ n 2] We could solve this equation by iteration using a computer. Initial Conditions yn=1;yn1=0; while 1, yn2=yn1;yn1=yn;yn=1.97*yn1-yn2; end Discrete-Time Systems y[ n]= 1.97y[ n 1] y[ n 2] With the initial conditions y[1] = 1 and y[0] = 0 the response is We could also describe the system with a block diagram. ( D means delay one unit in discrete time.) Feedback Control Systems To objective is to change the behavior of the system to obtain desired output/ performance. Illustrative Example Autonomous Car LIDAR Video Camera GPS RADAR Sensor 19 On-board Computer UltraSonic Sensor RADAR Sensor
6 Control System with Feedback Illustration Example: Requirement Control Input/Action Output/ Performance It s the pathway to transfer information from output to input to aid the control decision Feedback systems can be continuous-time or discrete-time or a mixture of the two. 21 Illustration Example: Illustration Example: Accelerate (Gas) Decelerate (Breaking) +20 Output/ -20 Output/
7 Illustration Example: CLOSED LOOP SYSTEM Illustration Example: No Change 0 Output/??? Output/ ?????? NO FEEDBACK OPEN LOOP System Feedback Systems In a feedback system the response of the system is fed back and combined with the excitation is such a way as to optimize the response in some desired sense. Examples of feedback systems are 1. Temperature control in a house using a thermostat 2. Water level control in the tank of a flush toilet. 3. Pouring a glass of lemonade to the top of the glass without overflowing. 4. A refrigerator ice maker that keeps the bin full of ice but does not make extra ice. 5. Driving a car. Feedback Systems Below is an example of a discrete-time feedback system. The response y[n] is fed back through two delays and gains b and c and combined with the excitation x[n]. Different values of a, b and c can create dramatically different responses to the same excitation. Feedback systems can be continuous-time or discrete-time or a mixture of the two
8 Feedback Systems Sound Recording System Responses to an excitation that changes from 0 to 1 at n = Control System Example(s) Recorded Sound as a Signal Example s i gn al Boston Dynamics 31 NASA space shuttle launch (Courtesy of NASA.) F-35 Pitch Yaw Control
9 Car Suspension System and Response Suspension response is the Output Safety Control Protocols in Autonomous Vehicles Road excitation is the Input Microelectromechanical System Accelerometers for Biomedical Sensing 3-axis accelerometers Structure of lateral capacitive accelerometers SEM view of Analog Device s ADXLO5 surface-micromachined polysilicon accelerometer G. Shafiq, & K. C. Veluvolu et.al, Autonomous Identification of Seismocardiogram for Systolic Time Interval Estimation, Nature Scientific Reports, Vol. 2016, No , Nov
10 Remote Sensing Biomedical Signal Processing Perspectival view of Mount Shasta (California), derived from a pair of stereo radar images acquired from orbit with the shuttle Imaging Radar (SIR-B) Morphological types of nerve cells (neurons) identifiable in monkey cerebral cortex, based on studies of primary somatic sensory and motor cortices Biomedical Signal Processing Why are Sensors and Systems important? EEG Signals collected during various stages of sleep and awake 40
11 Reasons for Crash of Air France Faulty Speed Sensor (due to icing) 2. Auto-Pilot disengages Summary A signal is any physical phenomenon which conveys information Systems respond to signals and produce new signals Excitation signals are applied at system inputs and response signals are produced at system outputs 3. Wrong Action from the Pilot Damn it, we re going to crash, this can t be happening : Last words from Pilot (10 Seconds before the actual crash) Discrete-time systems Events occur at points in time but not between those points Summary Feedback Systems - the response of the system is fed back and combined with the excitation is such a way as to obtained desired behavior/result Various systems Signal processing; communication systems; control systems; biomedical systems; automobile systems; 43
EENG226 Signals and Systems. Chapter 1 Introduction to Singals and Systems
EENG226 Signals and Systems Chapter 1 Introduction to Singals and Systems Prof. Dr. Hasan AMCA Electrical and Electronic Engineering Department (ee.emu.edu.tr) Eastern Mediterranean University (emu.edu.tr)
More informationEEE33350 Signals and Data Communications
Palestine Technical College Engineering Professions Department EEE33350 Signals and Data Communications Syllabus Nasser M. Sabah Teaching & Learning Strategies 2 Teaching Strategies Presentation Lecture
More informationE C E S I G N A L S A N D S Y S T E M S. ECE 2221 Signals and Systems, Sem /2011, Dr. Sigit Jarot
1 E C E 2 2 2 1 S I G N A L S A N D S Y S T E M S ECE 2221 Signals and Systems, Sem 3 2010/2011, Dr. Sigit Jarot Outline Course Objectives Learning Outcomes Course Synopsis Text and Supporting Books Course
More informationDigital Signal Processing Lecture 1
Remote Sensing Laboratory Dept. of Information Engineering and Computer Science University of Trento Via Sommarive, 14, I-38123 Povo, Trento, Italy Digital Signal Processing Lecture 1 Prof. Begüm Demir
More informationChapter 1: Introduction to Control Systems Objectives
Chapter 1: Introduction to Control Systems Objectives In this chapter we describe a general process for designing a control system. A control system consisting of interconnected components is designed
More informationDiscrete-time Signals & Systems
Discrete-time Signals & Systems S Wongsa Dept. of Control Systems and Instrumentation Engineering, KMU JAN, 2011 1 Overview Signals & Systems Continuous & Discrete ime Sampling Sampling in Frequency Domain
More informationEECS240 Spring Advanced Analog Integrated Circuits Lecture 1: Introduction. Elad Alon Dept. of EECS
EECS240 Spring 2009 Advanced Analog Integrated Circuits Lecture 1: Introduction Elad Alon Dept. of EECS Course Focus Focus is on analog design Typically: Specs circuit topology layout Will learn spec-driven
More informationBiomedical Control Systems. Lecture#01
1 Biomedical Control Systems Lecture#01 2 Text Books Modern Control Engineering, 5 th Edition; Ogata. Feedback & Control Systems, 2 nd edition; Schaum s outline, Joseph J, Allen R. Control Systems Engineering,
More informationLABORATORY PROJECT NO. 1 ELECTROMAGNETIC PROJECTILE LAUNCHER. 350 scientists and engineers from the United States and 60 other countries attended
2260 LABORATORY PROJECT NO. 1 ELECTROMAGNETIC PROJECTILE LAUNCHER 1. Introduction 350 scientists and engineers from the United States and 60 other countries attended the 1992 Symposium on Electromagnetic
More informationEE Analog and Non-linear Integrated Circuit Design
University of Southern California Viterbi School of Engineering Ming Hsieh Department of Electrical Engineering EE 479 - Analog and Non-linear Integrated Circuit Design Instructor: Ali Zadeh Email: prof.zadeh@yahoo.com
More informationReal-time digital signal recovery for a multi-pole low-pass transfer function system
Real-time digital signal recovery for a multi-pole low-pass transfer function system Jhinhwan Lee 1,a) 1 Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea
More informationPulse Code Modulation (PCM)
Project Title: e-laboratories for Physics and Engineering Education Tempus Project: contract # 517102-TEMPUS-1-2011-1-SE-TEMPUS-JPCR 1. Experiment Category: Electrical Engineering >> Communications 2.
More informationTeaching Staff. EECS240 Spring Course Focus. Administrative. Course Goal. Lecture Notes. Elad s office hours
EECS240 Spring 2012 Advanced Analog Integrated Circuits Lecture 1: Introduction Teaching Staff Elad s office hours 519 Cory Hall Tues. and Thurs. 11am-12pm (right after class) GSI: Pierluigi Nuzzo Weekly
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 informationDetection and Estimation of Signals in Noise. Dr. Robert Schober Department of Electrical and Computer Engineering University of British Columbia
Detection and Estimation of Signals in Noise Dr. Robert Schober Department of Electrical and Computer Engineering University of British Columbia Vancouver, August 24, 2010 2 Contents 1 Basic Elements
More informationEE 403: Digital Signal Processing
OKAN UNIVERSITY FACULTY OF ENGINEERING AND ARCHITECTURE 1 EEE 403 DIGITAL SIGNAL PROCESSING (DSP) 01 INTRODUCTION FALL 2012 Yrd. Doç. Dr. Didem Kıvanç Türeli didem.kivanc@okan.edu.tr EE 403: Digital Signal
More information10/21/2009. d R. d L. r L d B L08. POSE ESTIMATION, MOTORS. EECS 498-6: Autonomous Robotics Laboratory. Midterm 1. Mean: 53.9/67 Stddev: 7.
1 d R d L L08. POSE ESTIMATION, MOTORS EECS 498-6: Autonomous Robotics Laboratory r L d B Midterm 1 2 Mean: 53.9/67 Stddev: 7.73 1 Today 3 Position Estimation Odometry IMUs GPS Motor Modelling Kinematics:
More informationLecture Note on Wireless Communication Engineering I
Lecture Note on Wireless Communication Engineering I Prof. Kiyomichi Araki Department of Electrical & Electronics Tokyo Institute of Technology South III Bld. Room No. 912 TEL/FAX: 03-5734-3495 E-mail:
More informationLecture # 01. Introduction
Digital Image Processing Lecture # 01 Introduction Autumn 2012 Agenda Why image processing? Image processing examples Course plan History of imaging Fundamentals of image processing Components of image
More informationEE 351M Digital Signal Processing
EE 351M Digital Signal Processing Course Details Objective Establish a background in Digital Signal Processing Theory Required Text Discrete-Time Signal Processing, Prentice Hall, 2 nd Edition Alan Oppenheim,
More informationITT Technical Institute. ET3330 Telecommunications Systems and Technology Onsite Course SYLLABUS
ITT Technical Institute ET3330 Telecommunications Systems and Technology Onsite Course SYLLABUS Credit hours: 4.5 Contact/Instructional hours: 56 (34 Theory Hours, 22 Lab Hours) Prerequisite(s) and/or
More informationDSP Design Lecture 1. Introduction and DSP Basics. Fredrik Edman, PhD
DSP Design Lecture 1 Introduction and DSP Basics Fredrik Edman, PhD fredrik.edman@eit.lth.se Lecturers Fredrik Edman (course responsible) Mail: fredrik.edman@eit.lth.se Room E:2538 Mojtaba Mahdavi (exercises
More informationLehrstuhl für Technische Elektronik. Mixed-Signal IC Design LAB
Lehrstuhl für Technische Elektronik Technische Universität München Arcisstraße 21 80333 München Tel: 089/289-22929 Fax: 089/289-22938 Email: lte@ei.tum.de Prof. Dr. rer. nat. Franz Kreupl Mixed-Signal
More informationEENG 479 Digital signal processing Dr. Mohab A. Mangoud
EENG 479 Digital signal processing Dr. Mohab A. Mangoud Associate Professor Department of Electrical and Electronics Engineering College of Engineering University of Bahrain P.O.Box 32038- Kingdom of Bahrain
More informationMEM380 Applied Autonomous Robots I Winter Feedback Control USARSim
MEM380 Applied Autonomous Robots I Winter 2011 Feedback Control USARSim Transforming Accelerations into Position Estimates In a perfect world It s not a perfect world. We have noise and bias in our acceleration
More informationDeployment and Testing of Optimized Autonomous and Connected Vehicle Trajectories at a Closed- Course Signalized Intersection
Deployment and Testing of Optimized Autonomous and Connected Vehicle Trajectories at a Closed- Course Signalized Intersection Clark Letter*, Lily Elefteriadou, Mahmoud Pourmehrab, Aschkan Omidvar Civil
More informationLecture #1 Course Introduction and Amplifier Feedback Concepts
Summer 2015 Ahmad El-Banna Faculty of Engineering Department of Electronics and Communications GEE336 Electronic Circuits II Lecture #1 Course Introduction and Amplifier Feedback Concepts Instructor: Dr.
More informationADSPAA - Analog and Digital Signal Processing in Aerospace Applications
Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2018 300 - EETAC - Castelldefels School of Telecommunications and Aerospace Engineering 739 - TSC - Department of Signal Theory and
More informationINTRODUCTION TO KALMAN FILTERS
ECE5550: Applied Kalman Filtering 1 1 INTRODUCTION TO KALMAN FILTERS 1.1: What does a Kalman filter do? AKalmanfilterisatool analgorithmusuallyimplementedasa computer program that uses sensor measurements
More informationCourse Syllabus OSE 3200 Geometric Optics
Course Syllabus OSE 3200 Geometric Optics Instructor: Dr. Kyle Renshaw Term: Fall 2016 Email: krenshaw@creol.ucf.edu Class Meeting Days: Monday/Wednesday Phone: 407-823-2807 Class Meeting Time: 10:30-11:45AM
More informationITT Technical Institute. ET4771 Electronic Circuit Design Onsite Course SYLLABUS
ITT Technical Institute ET4771 Electronic Circuit Design Onsite Course SYLLABUS Credit hours: 4.5 Contact/Instructional hours: 56 (34 Theory Hours, 22 Lab Hours) Prerequisite(s) and/or Corequisite(s):
More informationFigure 1.1: Quanser Driving Simulator
1 INTRODUCTION The Quanser HIL Driving Simulator (QDS) is a modular and expandable LabVIEW model of a car driving on a closed track. The model is intended as a platform for the development, implementation
More informationThank you! Estimation + Information Theory. ELEC 3004: Systems 1 June
http://elec3004.org Estimation + Information Theory 2014 School of Information Technology and Electrical Engineering at The University of Queensland Thank you! ELEC 3004: Systems 1 June 2015 2 1 Schedule
More informationCOMM 601: Modulation I
Prof. Ahmed El-Mahdy, Communications Department The German University in Cairo Text Books [1] Couch, Digital and Analog Communication Systems, 7 th edition, Prentice Hall, 2007. [2] Simon Haykin, Communication
More informationMathematical Modeling of Ultrasonic Phased Array for Obstacle Location for Visually Impaired
IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 2, Issue 6 (Jul. Aug. 2013), PP 52-56 e-issn: 2319 4200, p-issn No. : 2319 4197 Mathematical Modeling of Ultrasonic Phased Array for Obstacle
More informationLAB 4: OPERATIONAL AMPLIFIER CIRCUITS
LAB 4: OPERATIONAL AMPLIFIER CIRCUITS ELEC 225 Introduction Operational amplifiers (OAs) are highly stable, high gain, difference amplifiers that can handle signals from zero frequency (dc signals) up
More informationFinal Exam. EE313 Signals and Systems. Fall 1999, Prof. Brian L. Evans, Unique No
Final Exam EE313 Signals and Systems Fall 1999, Prof. Brian L. Evans, Unique No. 14510 December 11, 1999 The exam is scheduled to last 50 minutes. Open books and open notes. You may refer to your homework
More informationWho am I? EECS240 Spring Administrative. Teaching Staff. References. Lecture Notes. Advanced Analog Integrated Circuits Lecture 1: Introduction
Who am I? EECS240 Spring 2013 Advanced Analog Integrated Circuits Lecture 1: Introduction Lingkai Kong Ph.D. in EECS, UC Berkeley, Dec. 2012. Currently a post-doc at BWRC Thesis: 60GHz Energy-Efficient
More informationAnalog circuit design ( )
Silver Oak College of Engineering & Technology Department of Electronics and Communication 4 th Sem Mid semester-1(summer 2019) Syllabus Microprocessor & Interfacing (2141001) 1 Introduction To 8-bit Microprocessor
More informationA VIRTUAL VALIDATION ENVIRONMENT FOR THE DESIGN OF AUTOMOTIVE SATELLITE BASED NAVIGATION SYSTEMS FOR URBAN CANYONS
49. Internationales Wissenschaftliches Kolloquium Technische Universität Ilmenau 27.-30. September 2004 Holger Rath / Peter Unger /Tommy Baumann / Andreas Emde / David Grüner / Thomas Lohfelder / Jens
More informationelectronics for computer engineering (Sensor) by KrisMT Computer Engineering, ICT, University of Phayao
305222 electronics for computer engineering (Sensor) by KrisMT Computer Engineering, ICT, University of Phayao ห วข อ Sensor =? Each type of sensor Technology Interpolation Sensor =? is a device that measures
More informationMAKER: Development of Smart Mobile Robot System to Help Middle School Students Learn about Robot Perception
Paper ID #14537 MAKER: Development of Smart Mobile Robot System to Help Middle School Students Learn about Robot Perception Dr. Sheng-Jen Tony Hsieh, Texas A&M University Dr. Sheng-Jen ( Tony ) Hsieh is
More informationEE 350: Electric Machinery Fundamentals
EE 350: Electric Machinery Fundamentals Lecture Schedule See Time Table Course Type, Semester Fundamental Engineering, Fifth Credit Hours Three + One Pre-requisite Physics Instructor Dr. Muhammad Asghar
More informationSyllabus for ENGR065-01: Circuit Theory
Syllabus for ENGR065-01: Circuit Theory Fall 2017 Instructor: Huifang Dou Designation: Catalog Description: Text Books and Other Required Materials: Course Objectives Student Learning Outcomes: Course
More informationUNIT III Data Acquisition & Microcontroller System. Mr. Manoj Rajale
UNIT III Data Acquisition & Microcontroller System Mr. Manoj Rajale Syllabus Interfacing of Sensors / Actuators to DAQ system, Bit width, Sampling theorem, Sampling Frequency, Aliasing, Sample and hold
More informationDiscrete-time Signals & Systems
Discrete-time Signals & Systems S Wongsa Dept. of Control Systems and Instrumentation Engineering, KMU JAN, 2010 1 Overview Signals & Systems Continuous & Discrete ime Sampling Sampling in Frequency Domain
More informationWelcome to SENG 480B / CSC 485A / CSC 586A Self-Adaptive and Self-Managing Systems
Welcome to SENG 480B / CSC 485A / CSC 586A Self-Adaptive and Self-Managing Systems Dr. Hausi A. Müller Department of Computer Science University of Victoria http://courses.seng.uvic.ca/courses/2015/summer/seng/480a
More informationCENG 5931 HW 5 Mobile Robotics Due March 5. Sensors for Mobile Robots
CENG 5931 HW 5 Mobile Robotics Due March 5 Sensors for Mobile Robots Dr. T. L. Harman: 281 283-3774 Office D104 For reports: Read HomeworkEssayRequirements on the web site and follow instructions which
More informationMaster Thesis Presentation Future Electric Vehicle on Lego By Karan Savant. Guide: Dr. Kai Huang
Master Thesis Presentation Future Electric Vehicle on Lego By Karan Savant Guide: Dr. Kai Huang Overview Objective Lego Car Wifi Interface to Lego Car Lego Car FPGA System Android Application Conclusion
More informationLab 7: Introduction to Webots and Sensor Modeling
Lab 7: Introduction to Webots and Sensor Modeling This laboratory requires the following software: Webots simulator C development tools (gcc, make, etc.) The laboratory duration is approximately two hours.
More informationIntroduction to Digital Control
Introduction to Digital Control Control systems are an integral part of modern society. Control systems exist in many systems of engineering, sciences, and in human body. Control means to regulate, direct,
More informationLecture 1 : Introduction to Control Engineering
UCSI University Kuala Lumpur, Malaysia Faculty of Engineering Department of Mechatronics Lecture 1 Introduction to Control Engineering Mohd Sulhi bin Azman Lecturer Department of Mechatronics UCSI University
More informationUniversity of Wisconsin-Madison, Nelson Institute for Environmental Studies September 2, 2014
University of Wisconsin-Madison, Nelson Institute for Environmental Studies September 2, 2014 The Earth from Above Introduction to Environmental Remote Sensing Lectures: Tuesday, Thursday 2:30-3:45 pm,
More information9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011
Training Course Remote Sensing Basic Theory & Image Processing Methods 19 23 September 2011 Remote Sensing Platforms Michiel Damen (September 2011) damen@itc.nl 1 Overview Platforms & missions aerial surveys
More informationEECS 562: Introduction to Communication Systems. Course Information
EECS 562: Introduction to Communication Systems Victor S. Frost Dan F. Servey Distinguished Professor Chair Electrical Engineering and Computer Science University of Kansas Phone: (785) 864 4486 e mail:
More informationDIGITAL SIGNAL PROCESSING (Date of document: 6 th May 2014)
Course Code : EEEB363 DIGITAL SIGNAL PROCESSING (Date of document: 6 th May 2014) Course Status : Core for BEEE and BEPE Level : Degree Semester Taught : 6 Credit : 3 Co-requisites : Signals and Systems
More informationCourse Specifications
Development Cluster Computer and Networking Engineering (CNE) Cluster Lead Developer Amir Asif Module Names Module 1: Baseband and Bandpass Communications (40 characters or less Module 2: Channel Coding
More informationDigital Image Processing COSC 6380/4393
Digital Image Processing COSC 6380/4393 Lecture 1 Aug 21 st, 2018 Slides from Dr. Shishir K Shah and Frank (Qingzhong) Liu Digital Image Processing COSC 6380/4393 Instructor Pranav Mantini Email: pmantini@uh.edu
More informationMicrocomputer Systems 1. Introduction to DSP S
Microcomputer Systems 1 Introduction to DSP S Introduction to DSP s Definition: DSP Digital Signal Processing/Processor It refers to: Theoretical signal processing by digital means (subject of ECE3222,
More informationDigital Signal Processing:
Digital Signal Processing: Mathematical and algorithmic manipulation of discretized and quantized or naturally digital signals in order to extract the most relevant and pertinent information that is carried
More informationSARDAR RAJA COLLEGE OF ENGINEERING ALANGULAM
SARDAR RAJA COLLEGES SARDAR RAJA COLLEGE OF ENGINEERING ALANGULAM DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING MICRO LESSON PLAN SUBJECT NAME SUBJECT CODE SEMESTER YEAR : SIGNALS AND SYSTEMS
More informationCS510: Image Computation. Ross Beveridge Jan 16, 2018
CS510: Image Computation Ross Beveridge Jan 16, 2018 Class Goals Prepare you to do research in computer vision Provide big picture (comparison to humans) Give you experience reading papers Familiarize
More informationECET 211 Electric Machines & Controls Lecture 4-2 Motor Control Devices: Lecture 4 Motor Control Devices
ECET 211 Electric Machines & Controls Lecture 4-2 Motor Control Devices: Part 3. Sensors, Part 4. Actuators Text Book: Electric Motors and Control Systems, by Frank D. Petruzella, published by McGraw Hill,
More informationCourse Syllabus OSE 4240 OPTICS AND PHOTNICS DESIGN, 3 CREDIT HOURS
Regardless of course type; e.g., traditional, media-enhanced, or Web, syllabi at UCF are required to include: Course title and number Credit hours Name(s) of instructor(s) Office location Office or Web
More informationContents. Contents. Contents. Lecture Note on Wireless Communication Engineering I. Wireless Communication Engineering 1
Lecture Note on Wireless Communication Engineering I Prof. Kiyomichi Araki Department of Electrical & Electronics Tokyo Institute of Technology South III Bld. Room No. 91 TEL/FAX: +81-3-5734-3495 E-mail:
More informationJ. C. Brégains (Student Member, IEEE), and F. Ares (Senior Member, IEEE).
ANALYSIS, SYNTHESIS AND DIAGNOSTICS OF ANTENNA ARRAYS THROUGH COMPLEX-VALUED NEURAL NETWORKS. J. C. Brégains (Student Member, IEEE), and F. Ares (Senior Member, IEEE). Radiating Systems Group, Department
More informationGPS data correction using encoders and INS sensors
GPS data correction using encoders and INS sensors Sid Ahmed Berrabah Mechanical Department, Royal Military School, Belgium, Avenue de la Renaissance 30, 1000 Brussels, Belgium sidahmed.berrabah@rma.ac.be
More informationCS8678_L1. Course Introduction. CS 8678 Introduction to Robotics & AI Dr. Ken Hoganson. Start Momentarily
Class Will CS8678_L1 Course Introduction CS 8678 Introduction to Robotics & AI Dr. Ken Hoganson Start Momentarily Contents Overview of syllabus (insert from web site) Description Textbook Mindstorms NXT
More informationEmbedded Systems & Robotics (Winter Training Program) 6 Weeks/45 Days
Embedded Systems & Robotics (Winter Training Program) 6 Weeks/45 Days PRESENTED BY RoboSpecies Technologies Pvt. Ltd. Office: W-53G, Sector-11, Noida-201301, U.P. Contact us: Email: stp@robospecies.com
More informationEE5310: Analog Electronic Circuits EE3002: Analog Circuits
EE5310: Analog Electronic Circuits EE3002: Analog Circuits Introduction S. Aniruddhan https://courses.iitm.ac.in Department of Electrical Engineering Indian Institute of Technology, Madras Chennai, 600036,
More informationMathematical Operations on Basic Discrete Time Signals with MATLAB Programming
Mathematical Operations on Basic Discrete Time Signals with MATLAB Programming N. D. Narkhede 1, Dr. J. N. Salunke 2, V. N. Shah 3 1. Associate Professor, J. T. Mahajan college of Engineering, Faizpur,
More informationThe Special Senses: Vision
OLLI Lecture 5 The Special Senses: Vision Vision The eyes are the sensory organs for vision. They collect light waves through their photoreceptors (located in the retina) and transmit them as nerve impulses
More informationPhD PRELIMINARY WRITTEN EXAMINATION READING LIST
Updated 10/18/2007 PhD PRELIMINARY WRITTEN EXAMINATION READING LIST COMMUNICATIONS Textbook example: R. Ziemer and W. Tranter, "Principles of Communications", Wiley Typically covered in a course such as
More informationTIME encoding of a band-limited function,,
672 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II: EXPRESS BRIEFS, VOL. 53, NO. 8, AUGUST 2006 Time Encoding Machines With Multiplicative Coupling, Feedforward, and Feedback Aurel A. Lazar, Fellow, IEEE
More informationBrainstorm. In addition to cameras / Kinect, what other kinds of sensors would be useful?
Brainstorm In addition to cameras / Kinect, what other kinds of sensors would be useful? How do you evaluate different sensors? Classification of Sensors Proprioceptive sensors measure values internally
More informationCourse Syllabus OSE 3200 Geometric Optics
Course Syllabus OSE 3200 Geometric Optics Instructor: Dr. Kyu Young Han Term: Spring 2018 Email: kyhan@creol.ucf.edu Class Meeting Days: Monday/Wednesday Phone: 407-823-6922 Class Meeting Time: 09:00-10:15AM
More informationLecture 4 Biosignal Processing. Digital Signal Processing and Analysis in Biomedical Systems
Lecture 4 Biosignal Processing Digital Signal Processing and Analysis in Biomedical Systems Contents - Preprocessing as first step of signal analysis - Biosignal acquisition - ADC - Filtration (linear,
More informationIntroduction to Electronic Circuit for Instrumentation
Introduction to Electronic Circuit for Instrumentation Fundamental quantities Length Mass Time Charge and electric current Heat and temperature Light and luminous intensity Matter (atom, ion and molecule)
More informationCOURSE MODULES LEVEL 3.1 & 3.2
COURSE MODULES LEVEL 3.1 & 3.2 6-Month Internship The six-month internship provides students with the opportunity to apply the knowledge acquired in the classroom to work situations, and demonstrate problem
More informationBooklet of teaching units
International Master Program in Mechatronic Systems for Rehabilitation Booklet of teaching units Third semester (M2 S1) Master Sciences de l Ingénieur Université Pierre et Marie Curie Paris 6 Boite 164,
More informationTeaching Scheme. Credits Assigned (hrs/week) Theory Practical Tutorial Theory Oral & Tutorial Total
Code ITC7051 Name Processing Teaching Scheme Credits Assigned (hrs/week) Theory Practical Tutorial Theory Oral & Tutorial Total Practical 04 02 -- 04 01 -- 05 Code ITC704 Name Wireless Technology Examination
More informationPrinciples of Photogrammetry
Winter 2014 1 Instructor: Contact Information. Office: Room # ENE 229C. Tel: (403) 220-7105. E-mail: ahabib@ucalgary.ca Lectures (SB 148): Monday, Wednesday& Friday (10:00 a.m. 10:50 a.m.). Office Hours:
More informationWB2306 The Human Controller
Simulation WB2306 The Human Controller Class 1. General Introduction Adapt the device to the human, not the human to the device! Teacher: David ABBINK Assistant professor at Delft Haptics Lab (www.delfthapticslab.nl)
More informationB.Sc. Syllabus for Electronics under CBCS. Semester-I
Semester-I Title: Electronic Circuit Analysis Course Code: UELTC101 Credits: 4 Total Marks: 100 Internal Examination: 20 marks End Semester Examination: 80 marks Duration: 3 hours Validity of Syllabus:
More informationChapter 6. Temperature Effects
Chapter 6. Temperature Effects 6.1 Introduction This chapter documents the investigation into temperature drifts that can cause a receiver clock bias even when a stable reference is used. The first step
More informationAC : A STUDENT-ORIENTED CONTROL LABORATORY US- ING PROGRAM CC
AC 2011-490: A STUDENT-ORIENTED CONTROL LABORATORY US- ING PROGRAM CC Ziqian Liu, SUNY Maritime College Ziqian Liu received the Ph.D. degree from the Southern Illinois University Carbondale in 2005. He
More informationA CubeSat-Based Optical Communication Network for Low Earth Orbit
A CubeSat-Based Optical Communication Network for Low Earth Orbit Richard Welle, Alexander Utter, Todd Rose, Jerry Fuller, Kristin Gates, Benjamin Oakes, and Siegfried Janson The Aerospace Corporation
More informationAnalog and Telecommunication Electronics
Politecnico di Torino ICT School Analog and Telecommunication Electronics A0 Course Introduction» Goals and contents» Course organization» Learning material» Reference system 15/03/2011-1 ATLCE - A0-2010
More informationHouston Community College CAREER AND TECHNOLOGY EDUCATION HEATING, VENTILATION AND AIR CONDITIONING COURSE SYLLABUS
Houston Community College CAREER AND TECHNOLOGY EDUCATION HEATING, VENTILATION AND AIR CONDITIONING COURSE SYLLABUS COURSE NUMBER: Hart 1301 COURSE TITLE: Basic Electricity Principles CREDITS: # (2 lectures,
More informationSELF STABILIZING PLATFORM
SELF STABILIZING PLATFORM Shalaka Turalkar 1, Omkar Padvekar 2, Nikhil Chavan 3, Pritam Sawant 4 and Project Guide: Mr Prathamesh Indulkar 5. 1,2,3,4,5 Department of Electronics and Telecommunication,
More informationElectronic Circuits for Mechatronics ELCT609 Lecture 1: Introduction
Electronic Circuits for Mechatronics ELCT609 Lecture 1: Introduction Assistant Professor Office: C3.315 E-mail: eman.azab@guc.edu.eg 1 Course Team Contact Information Lecturer Teaching Assistants E-mail:
More informationThe Use of Neural Network to Recognize the Parts of the Computer Motherboard
Journal of Computer Sciences 1 (4 ): 477-481, 2005 ISSN 1549-3636 Science Publications, 2005 The Use of Neural Network to Recognize the Parts of the Computer Motherboard Abbas M. Ali, S.D.Gore and Musaab
More informationUsing GPS to Synthesize A Large Antenna Aperture When The Elements Are Mobile
Using GPS to Synthesize A Large Antenna Aperture When The Elements Are Mobile Shau-Shiun Jan, Per Enge Department of Aeronautics and Astronautics Stanford University BIOGRAPHY Shau-Shiun Jan is a Ph.D.
More informationNebraska 4-H Robotics and GPS/GIS and SPIRIT Robotics Projects
Name: Club or School: Robots Knowledge Survey (Pre) Multiple Choice: For each of the following questions, circle the letter of the answer that best answers the question. 1. A robot must be in order to
More informationELE 882: Introduction to Digital Image Processing (DIP)
ELE882 Introduction to Digital Image Processing Course Instructor: Prof. Ling Guan Department of Electrical & Computer Engineering Room 315, ENG Building Tel: (416)979-5000 ext 6072 Email: lguan@ee.ryerson.ca
More informationModeling and analysis of an extrinsic Fabry-Perot interferometer performance using MATLAB
Modeling and analysis of an extrinsic Fabry-Perot interferometer performance using MATLAB Sanjoy Mandal, Tarun Kumar Gangopadhyay 2, Kamal Dasgupta 2, Tapas Kumar Basak 3, Shyamal Kumar Ghosh 3 College
More informationDesign IIR Filters Using Cascaded Biquads
Design IIR Filters Using Cascaded Biquads This article shows how to implement a Butterworth IIR lowpass filter as a cascade of second-order IIR filters, or biquads. We ll derive how to calculate the coefficients
More informationAn Approximation Algorithm for Computing the Mean Square Error Between Two High Range Resolution RADAR Profiles
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, VOL., NO., JULY 25 An Approximation Algorithm for Computing the Mean Square Error Between Two High Range Resolution RADAR Profiles John Weatherwax
More informationENE/EIE 211 : Electronic Devices and Circuit Design II Lecture 1: Introduction
ENE/EIE 211 : Electronic Devices and Circuit Design II Lecture 1: Introduction 1/14/2018 1 Course Name: ENE/EIE 211 Electronic Devices and Circuit Design II Credits: 3 Prerequisite: ENE/EIE 210 Electronic
More informationApplying Multisensor Information Fusion Technology to Develop an UAV Aircraft with Collision Avoidance Model
1 Applying Multisensor Information Fusion Technology to Develop an UAV Aircraft with Collision Avoidance Model {Final Version with
More information