ITGD3101Modern Telecommunications Lecture-1 Dr. Anwar Mousa University of Palestine Faculty of Information Technology

2 DATETOPICS Week 1  Course description- Introduction to signals Week 2  Classification of signals Week 3  Trigonometric Fourier Series Exponential Fourier Series Week 4  Fourier Transform Week 5  Signal Transmission through a Linear System Week 6  Sampling and Pulse Code Modulation Week 7  Digital communications systems Week 8  Mid-Term Exam Week 9  Line coding Week 10  Pulse shaping Week 11  M-ary communications Week 12  Optimum Threshold Detection Week 13  Signal space Week 14  Optimum receiver Week 15  Advanced Communications Systems Week 16  FINAL EXAM

Course Objectives

EE 541/451 Fall 2006 Instructor Information Office location: Office hours: Phone: ?? Research interests:

EE 541/451 Fall 2006 Course Descriptions What is the communication system?

EE 541/451 Fall 2006 Textbook and Software Require textbook: B.P. Lathi, Modern Digital and Analog Communication Systems, 3 rd edition, Oxford University Press, 1998 Recommended readings  Digital communications: J. Proakis, Digital Communications  Random process: G.R. Grimmett and D.R. Stirzaker, Probability and Random Processes  Estimation and detection: H.V. Poor, An introduction to Signal Detection and Estimation

EE 541/451 Fall 2006 Homework, Project, and Exam Homework  1 assignment per week  Exams  Two exams: Midterm and Final  Participations  Attendance and Feedback

EE 541/451 Fall 2006 Teaching Styles Slides plus Whiteboard  Slides can convey more information in an organized way  Whiteboard is better for equations and prevents you from not coming. Course Website  Print handouts with 3 slides per page before you come  Homework assignment and solutions Feedback  Too fast, too slow  Presentation

Course Outline  (Chapter 2) Introduction to signals  Classification of signals  Trigonometric Fourier Series  Exponential Fourier Series  (Chapter 3) Analysis and Transmission of signals  Aperiodic signal representation by Fourier Transform  Transform of some useful signals  Some properties of the Fourier Transform  Signal Transmission through a Linear System

Course Outline  Signal Energy and Energy Spectral Density  Signal Power and Power Spectral Density  (Chapter 6) Sampling and Pulse Code Modulation  Sampling Theorem  Pulse Code Modulation (PCM)  (Chapter 7)

Course Outline

 (Chapter 13) Behavior of Digital communication systems in the presence of Noise  Optimum Threshold Detection  Optimum Binary Receiver  M-ary Communications  (Chapter 14)

Course Outline

(Chapter 2) Introduction to signals Classification of signals

(Chapter 2) Introduction to signals Analog and Digital Signals –Analog Signal: A signal whose amplitude can take on any value in a continuous range –Digital Signal: A signal whose amplitude can take on only a finite number of values

(Chapter 2) Introduction to signals Periodic and non-periodic signals –A signal g(t) is said to be periodic if for some positive constant T o A non-periodic signal A periodic signal

Periodic signal representation by Fourier Series

Aperiodic signal representation by Fourier Transform

Important Functions