Engineering Scope and Sequence Student Outcomes (Objectives Skills/Verbs)

Size: px
Start display at page:

Download "Engineering Scope and Sequence Student Outcomes (Objectives Skills/Verbs)"

Transcription

1 The World of Modern Engineering What do Scientists and Engineers do? What is the difference between analog and digital devices? How do Engineers organize their designs? Introduction to LabView software Students will examine the problem of creating a movie Gain an understanding of the engineering design algorithm Identify differences between analog and digital devices Define Moore s law and the concept of doubling Apply engineering block diagrams to a problem Become familiar with Labview software and it s capabilities in the course Approx 13 days Aug. 24- sep 10 Scientific method, algorithm, engineering design algorithm, constraints, analog, vacuum tube, digital age, digital, transistor, integrated circuit, bits, byte, binary, binary numbers, Moore s law, block diagrams, input, output, prototype Design problem create an award winning movie from your home Build a VI that calculates the slope of a line Build a VI that captures an image Calculate the future of transistors with Moore s Law Design a new cell phone 1 Labview test create slope Labview test fix the wiring on the analysis of equation of slope Creating Digital Music What is a signal? What is sound? How can you represent sound and signals mathematically? How do you make music from sines and cosines? Making different instruments from sinusoids Study various signals Use functions to plot signals See the shape and form of their voice, music and other sounds Understand the math Approx 25 days Sep 14 oct.8 Signal, sound signal, microphone, loudspeaker, approximations, sampling, amplitude, notes, pitch, periodic signal, period, fundamental Design problem create a digital band see book Lab analyze voice signals Review various musical instrument signals 2 Project completion a better karaoke band! Create the ultimate speaker design Analyze and determine sounds Douglas County School District Page 1 DRAFT April 2010

2 How are spectrograms used in music How to create music with a midi player behind signals Examine how MIDI is used to represent music electronically Link sine and cosinge functions to sinusoids. Generate music from sine and cosine signals Examine the sinusoids of tuning forks Create melodies from multiple sinusoids Review how the spectrogram creates a signal from sines and cosines Make waveforms and melodies Make various instruments Design the ultimate karaoke machine with block designs frequency,hertz, melody, chord, standard, MIDI, sinusoid, radian, spectrum analyzer, spectrum, spectrogram, synthesis, sound synthesis, waveform synthesis, additive synthesis, envelope, square wave, exponential function, rate of decay Make a speaker Manipulate sin / cos to create signals Lab measuring tuning fork frequencies and the sounds they make Lab - build a midi player Lab review spectrogram imprint Lab create sound effects echo, reverb by their spectrogram Douglas County School District Page 2 DRAFT April 2010

3 Making Digital Images How do you convert into digital format? How do you add color to image? Which is a better picture? How do you add effects to pictures? Determine how an image can be recreated in binary Review the components of a digital imaging system Review how quantization effects Determine sampling rates, pixel sixes and required bits for color And how they effect Change rbg amount and how it effects color Examine bits and bytes and image quality Examine sampling and image effect Determine pixel width in Approx 14 days Oct Digital imaging, pixel, gray scale, image enhancement, animation, quantization, spatial sampling / size / rate, sampling artifacts, temporal sampling rate, temporal aliasing, field of view, byte, halftone, palette, colormap, aliasing Design problem how do you share a visual experience with others? Lab image quantization Lab image sampling Lab resolution trade offs Lab setup for live picture / determine pixel width Create a way to share digital see text Douglas County School District Page 3 DRAFT April 2010

4 Math You Can See How can you use digital Design a robo helper Digital image is a matrix Digital darkroom tools filtering, softening, sharpening How do find a edge to an image? How do you reduce noise and filter Design simple vision systems Identify uses of digital Discuss how pictures can be stored as numbers Discuss how matrices are the math behind Use thresholds to change Examine math operations effects on matrices and Use averaging and difference filters to detect edges Discover how a robot uses edge finding to recognize objects Observe how sharpening improves corrupted Design an object counter for coins and generalize it Create a blue screen Approx 30 days Nov 2- dec 10 Image processing, random noise, unsharp masking, edge detection, computer graphics, morphing, matrix, chromakey, elements, scalar, clipping, mapping, neighborhood operation, threshold, mask, average, median, Design problem how to record and monitor variances in numbers Lab changing image and math Lab threshold Lab adding and subtracting to Lab shifting Lab sharpening Lab edge detectors Lab design an image counter Lab design a motion detector Lab design a green screen image system Create image system to monitor changes Douglas County School District Page 4 DRAFT April 2010

5 Bridge Building Create a bridge that meets certain specs and can carry a certain load Approx 15 days Dec. 17 Jan 15 Design bridge in bridge building program?? name Semester Final exam Bridge building contest Digitizing the World How to digitize information The importance of sampling Converting to analog from digital What is a Binary number How information is quantitzed Create a digital yearbook Distinguish between analog and digital Understand sampling and implications Apply the Nyquist rate Explain and observe aliasing causes Apply binary coding Calculate SNR in large numbers Approx 16 days Jan 18- Feb 3 Byte, quantization, dynamic range, clipping, analog digital conversion, signal to noise ration Bit, binary number system, binary point, ascii code, aliasing, moiré pattern, bandlimited signal,, lowpass filter, nyquist rate, bandwidth, DSP digital signal processing, sampling, sampling period, digitization, digital signal, sample Create a digital yearbook Lab digitizing a FM radio signal Lab aliasing in various sinusoid waves Lab quantization of data - noise Create a digital yearbook Douglas County School District Page 5 DRAFT April 2010

6 Coding Information for Storage and Secrecy How to create a digital backback How information is coded How to compress information The best compression method MP3 and compression Coding for security Encryption methods How can you create a virtual garage sale? Create a simple codebook Analyze the compression process Understand the difference between lossy and lossless compression Discuss the limits of lossless compression Explain the concept of relative frequency Examine lossy compression and mp3 standards Examine the effects of speech compression on intelligibility of sounds Understand how to code to detect and correct errors Understand internet security and implementation Study various encoding methods Review various encoding Approx 21 days Feb 4- Mar 5 Exclusive OR operation, pseudo random number generator, seed, modulo-n-operation, public key cryptography, rotational encoding, cryptogram, identity coding, permutation encoding, cryptography, decryption key, password access codes, Create a virtual garage for the internet Create a digital backpack for student information Lab compression techniques Lab Hoffman tree with m & m s Lab how much mp3 audio will fit on a CD- ROM Lab - speech compression Lab correcting error Activity current events internet security Lab encoders Lab key generation for security Lab pseudo random number generator Create a virtual garage site for the internet Douglas County School District Page 6 DRAFT April 2010

7 Communication with Ones and Zeros How can you communicate with ones and zeros Simple communication vs. complex Serial communication Limiting errors in communication How to communicate between sender and receiver What is Unicode vs. ascii techniques Understand the Huffman tree Understand how a pseudo random number generator works Create a virtual garage for the internet Explain the 3 basic components of transferring information Review the history of digital communications Determine appropriate communications system Transmit and receive messages using a single tone Determine errors in communications systems Study the effect of weak and noisy signals Use various code tables for audio communication Decide on choices that affect implementation of a communication system Approx 20 days Mar 8 Apr 1 Digital communications, transmitter, receiver, tones, filter, bandpass filter, cochlea, weak signal, noise, interference, whiter noise, transmission speed, error rate, parallel binary method, serial binary method, frequency shift keying, international morse code, baudot code, askii code, Unicode, transmission rate, Crete a communication system for all languages Create a short report that highlights the digital communications history Lab determining transmission rate Lab communication using one tone Lab determining message in two systems Lab signals with noise Lab communication with several tones Lab touchtone telephone Create a communication system for the Chinese language ( or one past 26 characters) Douglas County School District Page 7 DRAFT April 2010

8 Use various methods to send text Simulate a touchtone keypad Simulate transmissions with different tones Lab determining binary transmission rate Networks from the Telegraph to the Internet What is a network? How to communicate with multiple systems? How to relay information What is the internet How could you improve our current network design Students will Understand how a network is constructed Simulate multi user networks Simulate a chat system Simulate a network topology that resemble the internet Understand network routing and switching Simulate multiple user networks with multiple routers and paths Explore interent topology, Review the history of the internet Examine various network protocols Receive and transmit video streams Approx 13 days Apr 12 apr 30 Broadcast systems, point to point systems, relay point, star configuration, local area network, store and forward network, routing table, router, queue, quality of service, switching, internet, protocols, access, servers, internet service provider, access server, intranet, backbone, tcp/ip, packets, SMTP, MIME, HTTP, FTP, URL, DNS, cache, Create a network for a specific client Lab multi user network Lab multi user network with router Lab - - multi user network with several routers Lab multi user network with choice of transmission path Research one aspect of historical aspect of internet Lab internet performance Chapter Test Design a network for a specific location Douglas County School District Page 8 DRAFT April 2010

9 The Big Picture of Engineering How does engineering improve society? What are the various fields of engineering What does the future of engineering hold? Review 10 different and important engineering achievements Discuss impacts of these projects Review the work of wellknown engineers and their contribution to society Review career requirements in the engineering field Approx 6 days May 3-13 All engineering fields Impact tree of various engineering accomplishments from chapter Research engineering fields Research engineers and their inventions for a report Research project engineering career Final Project How can I improve or create something to improve the area around me Students will combine skills developed over course to create a final engineering project for a portfolio piece Approx 15 days May 15- june 8 Final project / exam Douglas County School District Page 9 DRAFT April 2010

1. (a) Explain the process of Image acquisition. (b) Discuss different elements used in digital image processing system. [8+8]

1. (a) Explain the process of Image acquisition. (b) Discuss different elements used in digital image processing system. [8+8] Code No: R05410408 Set No. 1 1. (a) Explain the process of Image acquisition. (b) Discuss different elements used in digital image processing system. [8+8] 2. (a) Find Fourier transform 2 -D sinusoidal

More information

APPLICATIONS OF DSP OBJECTIVES

APPLICATIONS OF DSP OBJECTIVES APPLICATIONS OF DSP OBJECTIVES This lecture will discuss the following: Introduce analog and digital waveform coding Introduce Pulse Coded Modulation Consider speech-coding principles Introduce the channel

More information

BSc (Hons) Computer Science with Network Security, BEng (Hons) Electronic Engineering. Cohorts: BCNS/17A/FT & BEE/16B/FT

BSc (Hons) Computer Science with Network Security, BEng (Hons) Electronic Engineering. Cohorts: BCNS/17A/FT & BEE/16B/FT BSc (Hons) Computer Science with Network Security, BEng (Hons) Electronic Engineering Cohorts: BCNS/17A/FT & BEE/16B/FT Examinations for 2016-2017 Semester 2 & 2017 Semester 1 Resit Examinations for BEE/12/FT

More information

Byte = More common: 8 bits = 1 byte Abbreviation:

Byte = More common: 8 bits = 1 byte Abbreviation: Text, Images, Video and Sound ASCII-7 In the early days, a was used, with of 0 s and 1 s, enough for a typical keyboard. The standard was developed by (American Standard Code for Information Interchange)

More information

DEPARTMENT OF INFORMATION TECHNOLOGY QUESTION BANK. Subject Name: Information Coding Techniques UNIT I INFORMATION ENTROPY FUNDAMENTALS

DEPARTMENT OF INFORMATION TECHNOLOGY QUESTION BANK. Subject Name: Information Coding Techniques UNIT I INFORMATION ENTROPY FUNDAMENTALS DEPARTMENT OF INFORMATION TECHNOLOGY QUESTION BANK Subject Name: Year /Sem: II / IV UNIT I INFORMATION ENTROPY FUNDAMENTALS PART A (2 MARKS) 1. What is uncertainty? 2. What is prefix coding? 3. State the

More information

Department of Electronics and Communication Engineering 1

Department of Electronics and Communication Engineering 1 UNIT I SAMPLING AND QUANTIZATION Pulse Modulation 1. Explain in detail the generation of PWM and PPM signals (16) (M/J 2011) 2. Explain in detail the concept of PWM and PAM (16) (N/D 2012) 3. What is the

More information

Creating Digital Music

Creating Digital Music Chapter 2 Creating Digital Music Chapter 2 exposes students to some of the most important engineering ideas associated with the creation of digital music. Students learn how basic ideas drawn from the

More information

Physical Layer: Outline

Physical Layer: Outline 18-345: Introduction to Telecommunication Networks Lectures 3: Physical Layer Peter Steenkiste Spring 2015 www.cs.cmu.edu/~prs/nets-ece Physical Layer: Outline Digital networking Modulation Characterization

More information

Revision Guide for Chapter 3

Revision Guide for Chapter 3 Revision Guide for Chapter 3 Contents Student s Checklist Revision Notes Superposing signals... 4 Spectrum of a signal... 6 Analogue signals... 8 Digital sampling... 9 Analogue to digital conversion...

More information

Downloaded from 1

Downloaded from  1 VII SEMESTER FINAL EXAMINATION-2004 Attempt ALL questions. Q. [1] How does Digital communication System differ from Analog systems? Draw functional block diagram of DCS and explain the significance of

More information

*Which code? Images, Sound, Video. Computer Graphics Vocabulary

*Which code? Images, Sound, Video. Computer Graphics Vocabulary *Which code? Images, Sound, Video Y. Mendelsohn When a byte of memory is filled with up to eight 1s and 0s, how does the computer decide whether to represent the code as ASCII, Unicode, Color, MS Word

More information

Experiment 02: Amplitude Modulation

Experiment 02: Amplitude Modulation ECE316, Experiment 02, 2017 Communications Lab, University of Toronto Experiment 02: Amplitude Modulation Bruno Korst - bkf@comm.utoronto.ca Abstract In this second laboratory experiment, you will see

More information

Fundamentals of Digital Audio *

Fundamentals of Digital Audio * Digital Media The material in this handout is excerpted from Digital Media Curriculum Primer a work written by Dr. Yue-Ling Wong (ylwong@wfu.edu), Department of Computer Science and Department of Art,

More information

Fundamentals of Digital Communication

Fundamentals of Digital Communication Fundamentals of Digital Communication Network Infrastructures A.A. 2017/18 Digital communication system Analog Digital Input Signal Analog/ Digital Low Pass Filter Sampler Quantizer Source Encoder Channel

More information

SOME PHYSICAL LAYER ISSUES. Lecture Notes 2A

SOME PHYSICAL LAYER ISSUES. Lecture Notes 2A SOME PHYSICAL LAYER ISSUES Lecture Notes 2A Delays in networks Propagation time or propagation delay, t prop Time required for a signal or waveform to propagate (or move) from one point to another point.

More information

BSc (Hons) Computer Science with Network Security. Examinations for Semester 1

BSc (Hons) Computer Science with Network Security. Examinations for Semester 1 BSc (Hons) Computer Science with Network Security Cohort: BCNS/15B/FT Examinations for 2015-2016 Semester 1 MODULE: DATA COMMUNICATIONS MODULE CODE: CAN1101C Duration: 2 Hours Instructions to Candidates:

More information

Indexed Color. A browser may support only a certain number of specific colors, creating a palette from which to choose

Indexed Color. A browser may support only a certain number of specific colors, creating a palette from which to choose Indexed Color A browser may support only a certain number of specific colors, creating a palette from which to choose Figure 3.11 The Netscape color palette 1 QUIZ How many bits are needed to represent

More information

Principles of Communications ECS 332

Principles of Communications ECS 332 Principles of Communications ECS 332 Asst. Prof. Dr. Prapun Suksompong prapun@siit.tu.ac.th 5. Angle Modulation Office Hours: BKD, 6th floor of Sirindhralai building Wednesday 4:3-5:3 Friday 4:3-5:3 Example

More information

BSc (Hons) Computer Science with Network Security BEng (Hons) Electronic Engineering

BSc (Hons) Computer Science with Network Security BEng (Hons) Electronic Engineering BSc (Hons) Computer Science with Network Security BEng (Hons) Electronic Engineering Cohort: BCNS/16B/FT Examinations for 2016-2017 / Semester 1 Resit Examinations for BEE/12/FT MODULE: DATA COMMUNICATIONS

More information

1103 Period 26: Broadcasting

1103 Period 26: Broadcasting Name Section 1103 Period 26: Broadcasting Activity 26.1: Broadcasting Information with Radiant Energy 1) Transferring information with electromagnetic radiation: a) What is a carrier wave? 2) Radio wave

More information

Lecture Schedule: Week Date Lecture Title

Lecture Schedule: Week Date Lecture Title http://elec3004.org Sampling & More 2014 School of Information Technology and Electrical Engineering at The University of Queensland Lecture Schedule: Week Date Lecture Title 1 2-Mar Introduction 3-Mar

More information

Information Theory: the Day after Yesterday

Information Theory: the Day after Yesterday : the Day after Yesterday Department of Electrical Engineering and Computer Science Chicago s Shannon Centennial Event September 23, 2016 : the Day after Yesterday IT today Outline The birth of information

More information

Chapter 3 Data and Signals 3.1

Chapter 3 Data and Signals 3.1 Chapter 3 Data and Signals 3.1 Copyright The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Note To be transmitted, data must be transformed to electromagnetic signals. 3.2

More information

Chapter 4. Digital Audio Representation CS 3570

Chapter 4. Digital Audio Representation CS 3570 Chapter 4. Digital Audio Representation CS 3570 1 Objectives Be able to apply the Nyquist theorem to understand digital audio aliasing. Understand how dithering and noise shaping are done. Understand the

More information

Sound Synthesis Methods

Sound Synthesis Methods Sound Synthesis Methods Matti Vihola, mvihola@cs.tut.fi 23rd August 2001 1 Objectives The objective of sound synthesis is to create sounds that are Musically interesting Preferably realistic (sounds like

More information

Introduction to Telecommunications and Computer Engineering Unit 3: Communications Systems & Signals

Introduction to Telecommunications and Computer Engineering Unit 3: Communications Systems & Signals Introduction to Telecommunications and Computer Engineering Unit 3: Communications Systems & Signals Syedur Rahman Lecturer, CSE Department North South University syedur.rahman@wolfson.oxon.org Acknowledgements

More information

Audio Signal Compression using DCT and LPC Techniques

Audio Signal Compression using DCT and LPC Techniques Audio Signal Compression using DCT and LPC Techniques P. Sandhya Rani#1, D.Nanaji#2, V.Ramesh#3,K.V.S. Kiran#4 #Student, Department of ECE, Lendi Institute Of Engineering And Technology, Vizianagaram,

More information

TCET3202 Analog and digital Communications II

TCET3202 Analog and digital Communications II NEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York DEPARTMENT: SUBJECT CODE AND TITLE: COURSE DESCRIPTION: REQUIRED COURSE Electrical and Telecommunications Engineering Technology TCET3202

More information

Lecture #2. EE 471C / EE 381K-17 Wireless Communication Lab. Professor Robert W. Heath Jr.

Lecture #2. EE 471C / EE 381K-17 Wireless Communication Lab. Professor Robert W. Heath Jr. Lecture #2 EE 471C / EE 381K-17 Wireless Communication Lab Professor Robert W. Heath Jr. Preview of today s lecture u Introduction to digital communication u Components of a digital communication system

More information

Laboratory Assignment 2 Signal Sampling, Manipulation, and Playback

Laboratory Assignment 2 Signal Sampling, Manipulation, and Playback Laboratory Assignment 2 Signal Sampling, Manipulation, and Playback PURPOSE This lab will introduce you to the laboratory equipment and the software that allows you to link your computer to the hardware.

More information

Sound is the human ear s perceived effect of pressure changes in the ambient air. Sound can be modeled as a function of time.

Sound is the human ear s perceived effect of pressure changes in the ambient air. Sound can be modeled as a function of time. 2. Physical sound 2.1 What is sound? Sound is the human ear s perceived effect of pressure changes in the ambient air. Sound can be modeled as a function of time. Figure 2.1: A 0.56-second audio clip of

More information

15110 Principles of Computing, Carnegie Mellon University

15110 Principles of Computing, Carnegie Mellon University 1 Last Time Data Compression Information and redundancy Huffman Codes ALOHA Fixed Width: 0001 0110 1001 0011 0001 20 bits Huffman Code: 10 0000 010 0001 10 15 bits 2 Overview Human sensory systems and

More information

Image Processing Computer Graphics I Lecture 20. Display Color Models Filters Dithering Image Compression

Image Processing Computer Graphics I Lecture 20. Display Color Models Filters Dithering Image Compression 15-462 Computer Graphics I Lecture 2 Image Processing April 18, 22 Frank Pfenning Carnegie Mellon University http://www.cs.cmu.edu/~fp/courses/graphics/ Display Color Models Filters Dithering Image Compression

More information

MULTIMEDIA SYSTEMS

MULTIMEDIA SYSTEMS 1 Department of Computer Engineering, Faculty of Engineering King Mongkut s Institute of Technology Ladkrabang 01076531 MULTIMEDIA SYSTEMS Pk Pakorn Watanachaturaporn, Wt ht Ph.D. PhD pakorn@live.kmitl.ac.th,

More information

Principles of Musical Acoustics

Principles of Musical Acoustics William M. Hartmann Principles of Musical Acoustics ^Spr inger Contents 1 Sound, Music, and Science 1 1.1 The Source 2 1.2 Transmission 3 1.3 Receiver 3 2 Vibrations 1 9 2.1 Mass and Spring 9 2.1.1 Definitions

More information

Digital Image Processing Question Bank UNIT -I

Digital Image Processing Question Bank UNIT -I Digital Image Processing Question Bank UNIT -I 1) Describe in detail the elements of digital image processing system. & write note on Sampling and Quantization? 2) Write the Hadamard transform matrix Hn

More information

Final Exam Study Guide: Introduction to Computer Music Course Staff April 24, 2015

Final Exam Study Guide: Introduction to Computer Music Course Staff April 24, 2015 Final Exam Study Guide: 15-322 Introduction to Computer Music Course Staff April 24, 2015 This document is intended to help you identify and master the main concepts of 15-322, which is also what we intend

More information

UNIT 7C Data Representation: Images and Sound

UNIT 7C Data Representation: Images and Sound UNIT 7C Data Representation: Images and Sound 1 Pixels An image is stored in a computer as a sequence of pixels, picture elements. 2 1 Resolution The resolution of an image is the number of pixels used

More information

CS601 Data Communication Solved Objective For Midterm Exam Preparation

CS601 Data Communication Solved Objective For Midterm Exam Preparation CS601 Data Communication Solved Objective For Midterm Exam Preparation Question No: 1 Effective network mean that the network has fast delivery, timeliness and high bandwidth duplex transmission accurate

More information

Assistant Lecturer Sama S. Samaan

Assistant Lecturer Sama S. Samaan MP3 Not only does MPEG define how video is compressed, but it also defines a standard for compressing audio. This standard can be used to compress the audio portion of a movie (in which case the MPEG standard

More information

Image Processing. What is an image? קורס גרפיקה ממוחשבת 2008 סמסטר ב' Converting to digital form. Sampling and Reconstruction.

Image Processing. What is an image? קורס גרפיקה ממוחשבת 2008 סמסטר ב' Converting to digital form. Sampling and Reconstruction. Amplitude 5/1/008 What is an image? An image is a discrete array of samples representing a continuous D function קורס גרפיקה ממוחשבת 008 סמסטר ב' Continuous function Discrete samples 1 חלק מהשקפים מעובדים

More information

Chapter Two. Fundamentals of Data and Signals. Data Communications and Computer Networks: A Business User's Approach Seventh Edition

Chapter Two. Fundamentals of Data and Signals. Data Communications and Computer Networks: A Business User's Approach Seventh Edition Chapter Two Fundamentals of Data and Signals Data Communications and Computer Networks: A Business User's Approach Seventh Edition After reading this chapter, you should be able to: Distinguish between

More information

UNIT 7B Data Representa1on: Images and Sound. Pixels. An image is stored in a computer as a sequence of pixels, picture elements.

UNIT 7B Data Representa1on: Images and Sound. Pixels. An image is stored in a computer as a sequence of pixels, picture elements. UNIT 7B Data Representa1on: Images and Sound 1 Pixels An image is stored in a computer as a sequence of pixels, picture elements. 2 1 Resolu1on The resolu1on of an image is the number of pixels used to

More information

MPEG-4 Structured Audio Systems

MPEG-4 Structured Audio Systems MPEG-4 Structured Audio Systems Mihir Anandpara The University of Texas at Austin anandpar@ece.utexas.edu 1 Abstract The MPEG-4 standard has been proposed to provide high quality audio and video content

More information

2.1. General Purpose Run Length Encoding Relative Encoding Tokanization or Pattern Substitution

2.1. General Purpose Run Length Encoding Relative Encoding Tokanization or Pattern Substitution 2.1. General Purpose There are many popular general purpose lossless compression techniques, that can be applied to any type of data. 2.1.1. Run Length Encoding Run Length Encoding is a compression technique

More information

Review of Lecture 2. Data and Signals - Theoretical Concepts. Review of Lecture 2. Review of Lecture 2. Review of Lecture 2. Review of Lecture 2

Review of Lecture 2. Data and Signals - Theoretical Concepts. Review of Lecture 2. Review of Lecture 2. Review of Lecture 2. Review of Lecture 2 Data and Signals - Theoretical Concepts! What are the major functions of the network access layer? Reference: Chapter 3 - Stallings Chapter 3 - Forouzan Study Guide 3 1 2! What are the major functions

More information

CHAPTER 2 - DIGITAL DATA REPRESENTATION AND NUMBERING SYSTEMS

CHAPTER 2 - DIGITAL DATA REPRESENTATION AND NUMBERING SYSTEMS CHAPTER 2 - DIGITAL DATA REPRESENTATION AND NUMBERING SYSTEMS INTRODUCTION Digital computers use sequences of binary digits (bits) to represent numbers, letters, special symbols, music, pictures, and videos.

More information

EEE482F: Problem Set 1

EEE482F: Problem Set 1 EEE482F: Problem Set 1 1. A digital source emits 1.0 and 0.0V levels with a probability of 0.2 each, and +3.0 and +4.0V levels with a probability of 0.3 each. Evaluate the average information of the source.

More information

קורס גרפיקה ממוחשבת 2008 סמסטר ב' Image Processing 1 חלק מהשקפים מעובדים משקפים של פרדו דוראנד, טומס פנקהאוסר ודניאל כהן-אור

קורס גרפיקה ממוחשבת 2008 סמסטר ב' Image Processing 1 חלק מהשקפים מעובדים משקפים של פרדו דוראנד, טומס פנקהאוסר ודניאל כהן-אור קורס גרפיקה ממוחשבת 2008 סמסטר ב' Image Processing 1 חלק מהשקפים מעובדים משקפים של פרדו דוראנד, טומס פנקהאוסר ודניאל כהן-אור What is an image? An image is a discrete array of samples representing a continuous

More information

15110 Principles of Computing, Carnegie Mellon University

15110 Principles of Computing, Carnegie Mellon University 1 Overview Human sensory systems and digital representations Digitizing images Digitizing sounds Video 2 HUMAN SENSORY SYSTEMS 3 Human limitations Range only certain pitches and loudnesses can be heard

More information

Communication Networks

Communication Networks Communication Networks Chapter 4 Transmission Technique Communication Networks: 4. Transmission Technique 133 Overview 1. Basic Model of a Transmission System 2. Signal Classes 3. Physical Medium 4. Coding

More information

DE63 DIGITAL COMMUNICATIONS DEC 2014

DE63 DIGITAL COMMUNICATIONS DEC 2014 Q.2 a. Draw the bandwidth efficiency curve w.r.t E b /N o. Compute the value of E b /N o required to achieve the data rate equal to the channel capacity if the channel bandwidth tends to infinity b. A

More information

Chapter 3 Digital Transmission Fundamentals

Chapter 3 Digital Transmission Fundamentals Chapter 3 Digital Transmission Fundamentals Digital Representation of Information Why Digital Communications? Digital Representation of Analog Signals Characterization of Communication Channels Fundamental

More information

Entropy, Coding and Data Compression

Entropy, Coding and Data Compression Entropy, Coding and Data Compression Data vs. Information yes, not, yes, yes, not not In ASCII, each item is 3 8 = 24 bits of data But if the only possible answers are yes and not, there is only one bit

More information

15.Calculate the local oscillator frequency if incoming frequency is F1 and translated carrier frequency

15.Calculate the local oscillator frequency if incoming frequency is F1 and translated carrier frequency DEPARTMENT OF ELECTRONICS & COMMUNICATION ENGINEERING SUBJECT NAME:COMMUNICATION THEORY YEAR/SEM: II/IV SUBJECT CODE: EC 6402 UNIT I:l (AMPLITUDE MODULATION) PART A 1. Compute the bandwidth of the AMP

More information

Michael F. Toner, et. al.. "Distortion Measurement." Copyright 2000 CRC Press LLC. <

Michael F. Toner, et. al.. Distortion Measurement. Copyright 2000 CRC Press LLC. < Michael F. Toner, et. al.. "Distortion Measurement." Copyright CRC Press LLC. . Distortion Measurement Michael F. Toner Nortel Networks Gordon W. Roberts McGill University 53.1

More information

Chapter 2: Digitization of Sound

Chapter 2: Digitization of Sound Chapter 2: Digitization of Sound Acoustics pressure waves are converted to electrical signals by use of a microphone. The output signal from the microphone is an analog signal, i.e., a continuous-valued

More information

Digital Image Processing Introduction

Digital Image Processing Introduction Digital Processing Introduction Dr. Hatem Elaydi Electrical Engineering Department Islamic University of Gaza Fall 2015 Sep. 7, 2015 Digital Processing manipulation data might experience none-ideal acquisition,

More information

ITM 1010 Computer and Communication Technologies

ITM 1010 Computer and Communication Technologies ITM 1010 Computer and Communication Technologies Lecture #20 Review: Communication Technologies 2003 香港中文大學, 電子工程學系 (Prof. H.K.Tsang) ITM 1010 計算機與通訊技術 1 Review of Communication Technologies! Information

More information

LEARN TELECOMMUNICATIONS BY SIMULATION. Jeremy Clark VE3PKC

LEARN TELECOMMUNICATIONS BY SIMULATION. Jeremy Clark VE3PKC LEARN TELECOMMUNICATIONS BY SIMULATION Jeremy Clark VE3PKC ISBN 978-0-9880490-0-0 Clark Telecommunications/Jeremy Clark June 2012 All rights reserved. No part of this work shall be reproduced, stored in

More information

Introduction to Communications Part Two: Physical Layer Ch3: Data & Signals

Introduction to Communications Part Two: Physical Layer Ch3: Data & Signals Introduction to Communications Part Two: Physical Layer Ch3: Data & Signals Kuang Chiu Huang TCM NCKU Spring/2008 Goals of This Class Through the lecture of fundamental information for data and signals,

More information

Innovative Communications Experiments Using an Integrated Design Laboratory

Innovative Communications Experiments Using an Integrated Design Laboratory Innovative Communications Experiments Using an Integrated Design Laboratory Frank K. Tuffner, John W. Pierre, Robert F. Kubichek University of Wyoming Abstract In traditional undergraduate teaching laboratory

More information

RF/IF Terminology and Specs

RF/IF Terminology and Specs RF/IF Terminology and Specs Contributors: Brad Brannon John Greichen Leo McHugh Eamon Nash Eberhard Brunner 1 Terminology LNA - Low-Noise Amplifier. A specialized amplifier to boost the very small received

More information

History of Communication

History of Communication 1 History of Communication Required reading: Forouzan Ch. 1 Garcia 1.1 and 1.2 CSE 3213, Fall 2015 Instructor: N. Vlajic History of Telecommunications 2 Papyrus 3000 BC http://www.prologprintmedia.co.uk/news-whats-next-in-the-evolution-of-communication

More information

Communications I (ELCN 306)

Communications I (ELCN 306) Communications I (ELCN 306) c Samy S. Soliman Electronics and Electrical Communications Engineering Department Cairo University, Egypt Email: samy.soliman@cu.edu.eg Website: http://scholar.cu.edu.eg/samysoliman

More information

YEDITEPE UNIVERSITY ENGINEERING FACULTY COMMUNICATION SYSTEMS LABORATORY EE 354 COMMUNICATION SYSTEMS

YEDITEPE UNIVERSITY ENGINEERING FACULTY COMMUNICATION SYSTEMS LABORATORY EE 354 COMMUNICATION SYSTEMS YEDITEPE UNIVERSITY ENGINEERING FACULTY COMMUNICATION SYSTEMS LABORATORY EE 354 COMMUNICATION SYSTEMS EXPERIMENT 3: SAMPLING & TIME DIVISION MULTIPLEX (TDM) Objective: Experimental verification of the

More information

SIGNALS AND SYSTEMS LABORATORY 13: Digital Communication

SIGNALS AND SYSTEMS LABORATORY 13: Digital Communication SIGNALS AND SYSTEMS LABORATORY 13: Digital Communication INTRODUCTION Digital Communication refers to the transmission of binary, or digital, information over analog channels. In this laboratory you will

More information

Lab 3 FFT based Spectrum Analyzer

Lab 3 FFT based Spectrum Analyzer ECEn 487 Digital Signal Processing Laboratory Lab 3 FFT based Spectrum Analyzer Due Dates This is a three week lab. All TA check off must be completed prior to the beginning of class on the lab book submission

More information

Overview of Digital Signal Processing

Overview of Digital Signal Processing Overview of Digital Signal Processing Chapter Intended Learning Outcomes: (i) Understand basic terminology in digital signal processing (ii) Differentiate digital signal processing and analog signal processing

More information

Chapter 2: Fundamentals of Data and Signals

Chapter 2: Fundamentals of Data and Signals Chapter 2: Fundamentals of Data and Signals TRUE/FALSE 1. The terms data and signal mean the same thing. F PTS: 1 REF: 30 2. By convention, the minimum and maximum values of analog data and signals are

More information

DIGITAL COMMINICATIONS

DIGITAL COMMINICATIONS Code No: R346 R Set No: III B.Tech. I Semester Regular and Supplementary Examinations, December - 23 DIGITAL COMMINICATIONS (Electronics and Communication Engineering) Time: 3 Hours Max Marks: 75 Answer

More information

SGN Audio and Speech Processing

SGN Audio and Speech Processing Introduction 1 Course goals Introduction 2 SGN 14006 Audio and Speech Processing Lectures, Fall 2014 Anssi Klapuri Tampere University of Technology! Learn basics of audio signal processing Basic operations

More information

Signals and Systems Lecture 9 Communication Systems Frequency-Division Multiplexing and Frequency Modulation (FM)

Signals and Systems Lecture 9 Communication Systems Frequency-Division Multiplexing and Frequency Modulation (FM) Signals and Systems Lecture 9 Communication Systems Frequency-Division Multiplexing and Frequency Modulation (FM) April 11, 2008 Today s Topics 1. Frequency-division multiplexing 2. Frequency modulation

More information

Mobile Computing GNU Radio Laboratory1: Basic test

Mobile Computing GNU Radio Laboratory1: Basic test Mobile Computing GNU Radio Laboratory1: Basic test 1. Now, let us try a python file. Download, open, and read the file base.py, which contains the Python code for the flowgraph as in the previous test.

More information

UNIT III -- DATA AND PULSE COMMUNICATION PART-A 1. State the sampling theorem for band-limited signals of finite energy. If a finite energy signal g(t) contains no frequency higher than W Hz, it is completely

More information

Code No: R Set No. 1

Code No: R Set No. 1 Code No: R05220405 Set No. 1 II B.Tech II Semester Regular Examinations, Apr/May 2007 ANALOG COMMUNICATIONS ( Common to Electronics & Communication Engineering and Electronics & Telematics) Time: 3 hours

More information

Pulse Code Modulation

Pulse Code Modulation Pulse Code Modulation EE 44 Spring Semester Lecture 9 Analog signal Pulse Amplitude Modulation Pulse Width Modulation Pulse Position Modulation Pulse Code Modulation (3-bit coding) 1 Advantages of Digital

More information

Channel Characteristics and Impairments

Channel Characteristics and Impairments ELEX 3525 : Data Communications 2013 Winter Session Channel Characteristics and Impairments is lecture describes some of the most common channel characteristics and impairments. A er this lecture you should

More information

DIGITAL COMMUNICATION

DIGITAL COMMUNICATION DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING DIGITAL COMMUNICATION Spring 00 Yrd. Doç. Dr. Burak Kelleci OUTLINE Quantization Pulse-Code Modulation THE QUANTIZATION PROCESS A continuous signal has

More information

Problem Sheet 1 Probability, random processes, and noise

Problem Sheet 1 Probability, random processes, and noise Problem Sheet 1 Probability, random processes, and noise 1. If F X (x) is the distribution function of a random variable X and x 1 x 2, show that F X (x 1 ) F X (x 2 ). 2. Use the definition of the cumulative

More information

ESE150 Spring University of Pennsylvania Department of Electrical and System Engineering Digital Audio Basics

ESE150 Spring University of Pennsylvania Department of Electrical and System Engineering Digital Audio Basics University of Pennsylvania Department of Electrical and System Engineering Digital Audio Basics ESE150, Spring 2018 Midterm Wednesday, February 28 Exam ends at 5:50pm; begin as instructed (target 4:35pm)

More information

Image Processing. Adrien Treuille

Image Processing. Adrien Treuille Image Processing http://croftonacupuncture.com/db5/00415/croftonacupuncture.com/_uimages/bigstockphoto_three_girl_friends_celebrating_212140.jpg Adrien Treuille Overview Image Types Pixel Filters Neighborhood

More information

6.2 MIDI: Musical Instrument Digital Interface. 6.4 Further Exploration

6.2 MIDI: Musical Instrument Digital Interface. 6.4 Further Exploration Chapter 6 Basics of Digital Audio 6.1 Digitization of Sound 6.2 MIDI: Musical Instrument Digital Interface 63 6.3 Quantization and Transmission of Audio 6.4 Further Exploration 6.1 Digitization of Sound

More information

AM Limitations. Amplitude Modulation II. DSB-SC Modulation. AM Modifications

AM Limitations. Amplitude Modulation II. DSB-SC Modulation. AM Modifications Lecture 6: Amplitude Modulation II EE 3770: Communication Systems AM Limitations AM Limitations DSB-SC Modulation SSB Modulation VSB Modulation Lecture 6 Amplitude Modulation II Amplitude modulation is

More information

EE390 Final Exam Fall Term 2002 Friday, December 13, 2002

EE390 Final Exam Fall Term 2002 Friday, December 13, 2002 Name Page 1 of 11 EE390 Final Exam Fall Term 2002 Friday, December 13, 2002 Notes 1. This is a 2 hour exam, starting at 9:00 am and ending at 11:00 am. The exam is worth a total of 50 marks, broken down

More information

Chapter 4 Digital Transmission 4.1

Chapter 4 Digital Transmission 4.1 Chapter 4 Digital Transmission 4.1 Copyright The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 4-2 ANALOG-TO-DIGITAL CONVERSION We have seen in Chapter 3 that a digital signal

More information

Design of a Digital Transmission System Using ASAK for the Transmission and Reception of Text Messages Using LABVIEW

Design of a Digital Transmission System Using ASAK for the Transmission and Reception of Text Messages Using LABVIEW Design of a Digital Transmission System Using ASAK for the Transmission and Reception of Text Messages Using LABVIEW K. Ravi Babu 1, M.Srinivas 2 1 Asst. Prof, Dept of ECE, PBR VITS 2 Asst. Prof, Dept

More information

Information theory II. Fisica dell Energia - a.a. 2017/2018

Information theory II. Fisica dell Energia - a.a. 2017/2018 Information theory II Fisica dell Energia - a.a. 2017/2018 Transfer of information Communication Communication is the transfer of information from one place to another. This should be done as efficiently

More information

Developing a Versatile Audio Synthesizer TJHSST Senior Research Project Computer Systems Lab

Developing a Versatile Audio Synthesizer TJHSST Senior Research Project Computer Systems Lab Developing a Versatile Audio Synthesizer TJHSST Senior Research Project Computer Systems Lab 2009-2010 Victor Shepardson June 7, 2010 Abstract A software audio synthesizer is being implemented in C++,

More information

ENGR 4323/5323 Digital and Analog Communication

ENGR 4323/5323 Digital and Analog Communication ENGR 4323/5323 Digital and Analog Communication Chapter 1 Introduction Engineering and Physics University of Central Oklahoma Dr. Mohamed Bingabr Course Materials Textbook: Modern Digital and Analog Communication,

More information

CS 262 Lecture 01: Digital Images and Video. John Magee Some material copyright Jones and Bartlett

CS 262 Lecture 01: Digital Images and Video. John Magee Some material copyright Jones and Bartlett CS 262 Lecture 01: Digital Images and Video John Magee Some material copyright Jones and Bartlett 1 Overview/Questions What is digital information? What is color? How do pictures get encoded into binary

More information

2. By convention, the minimum and maximum values of analog data and signals are presented as voltages.

2. By convention, the minimum and maximum values of analog data and signals are presented as voltages. Chapter 2: Fundamentals of Data and Signals Data Communications and Computer Networks A Business Users Approach 8th Edition White TEST BANK Full clear download (no formatting errors) at: https://testbankreal.com/download/data-communications-computer-networksbusiness-users-approach-8th-edition-white-test-bank/

More information

CS601-Data Communication Latest Solved Mcqs from Midterm Papers

CS601-Data Communication Latest Solved Mcqs from Midterm Papers CS601-Data Communication Latest Solved Mcqs from Midterm Papers May 07,2011 Lectures 1-22 Moaaz Siddiq Latest Mcqs MIDTERM EXAMINATION Spring 2010 Question No: 1 ( Marks: 1 ) - Please choose one Effective

More information

What is Sound? Simple Harmonic Motion -- a Pendulum

What is Sound? Simple Harmonic Motion -- a Pendulum What is Sound? As the tines move back and forth they exert pressure on the air around them. (a) The first displacement of the tine compresses the air molecules causing high pressure. (b) Equal displacement

More information

Amplitude Modulation II

Amplitude Modulation II Lecture 6: Amplitude Modulation II EE 3770: Communication Systems Lecture 6 Amplitude Modulation II AM Limitations DSB-SC Modulation SSB Modulation VSB Modulation Multiplexing Mojtaba Vaezi 6-1 Contents

More information

Chapter 8. Representing Multimedia Digitally

Chapter 8. Representing Multimedia Digitally Chapter 8 Representing Multimedia Digitally Learning Objectives Explain how RGB color is represented in bytes Explain the difference between bits and binary numbers Change an RGB color by binary addition

More information

Chapter 3 Data Transmission COSC 3213 Summer 2003

Chapter 3 Data Transmission COSC 3213 Summer 2003 Chapter 3 Data Transmission COSC 3213 Summer 2003 Courtesy of Prof. Amir Asif Definitions 1. Recall that the lowest layer in OSI is the physical layer. The physical layer deals with the transfer of raw

More information

Laboratory Assignment 5 Amplitude Modulation

Laboratory Assignment 5 Amplitude Modulation Laboratory Assignment 5 Amplitude Modulation PURPOSE In this assignment, you will explore the use of digital computers for the analysis, design, synthesis, and simulation of an amplitude modulation (AM)

More information

CSCD 433 Network Programming Fall Lecture 5 Physical Layer Continued

CSCD 433 Network Programming Fall Lecture 5 Physical Layer Continued CSCD 433 Network Programming Fall 2016 Lecture 5 Physical Layer Continued 1 Topics Definitions Analog Transmission of Digital Data Digital Transmission of Analog Data Multiplexing 2 Different Types of

More information

BACHELOR IN INFORMATION TECHNOLOGY (BIT) Term-End Examination December, 2011 CSI-01 : COMPUTER PLATFORMS

BACHELOR IN INFORMATION TECHNOLOGY (BIT) Term-End Examination December, 2011 CSI-01 : COMPUTER PLATFORMS No. of Printed Pages : 5 BACHELOR IN INFORMATION TECHNOLOGY (BIT) Term-End Examination December, 2011 00 570 CSI-01 : COMPUTER PLATFORMS Time : 3 hours Maximum Marks : 75 Note : There are two sections

More information