1 / 8

Introduction

EE 313 Linear Systems and Signals Fall 2010. Introduction. Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin. Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf. Coverage of Course.

paul2
Télécharger la présentation

Introduction

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. EE 313 Linear Systems and Signals Fall 2010 Introduction Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin Initial conversion of content to PowerPointby Dr. Wade C. Schwartzkopf

  2. Coverage of Course • Analysis of linear subsystems within control, communication, and signal processing systems • Examples of electronic control systems? Antilock brakes Engine control Chemical processing plant • Emerging trend: brake by wire • Examples of signal processing and communication systems?

  3. Signal Processing Systems • Speech and audio Speech compression (cell phones) Speech synthesis and recognition Audio CD players Audio compression: AC3, MPEG 1 layer 3 audio (MP3) • Image and video compression Image compression: JPEG, JPEG 2000 Video CDs: MPEG 1 DVD, digital cable, HDTV: MPEG 2 Wireless video: MPEG 4/H.263,MPEG 4 Advanced Video Coding/H.264 Moving Picture Experts Group (MPEG) Joint Picture Experts Group (JPEG)

  4. Communication Systems • Digital subscriber lines (DSL) • Cable modems • Cellular phones First generation (1G): Advanced Mobile Phone Service Second generation (2G): Global System for Mobile (GSM) and Interim Standard-95 (Code Division Multiple Access) Third generation (3G): cdma2000, Wideband CDMA Fourth generation (4G): Long Term Evolution, Wi-Max • Local area wireless Internet access IEEE 802.11a, b, g, n, etc. (“WiFi”) Analog Digital

  5. Related BS ECE Technical Areas Communication/networking EE345S Real-Time DSP Lab EE360K Digital Comm. EE371C Wireless Comm Lab EE372N Telecom. Networks EE379K-15 Info. Theory Signal/image processing EE345S Real-Time DSP Lab EE351M DSP (theory) EE371R Digital Image and Video Processing Embedded Systems EE345M Embedded and Real-Time Systems EE345S Real-Time DSP Lab EE360M Dig. Sys. Design EE360N Computer Arch. EE360R VLSI CAD Introduction 2011 Fall Spring Fall Fall Spring Spring Spring Undergraduates may request permission to take grad courses EE345S may be used for advanced laboratory pre-requisite for senior design project.

  6. Signals as Functions • Function of an independent variable Temperature vs. time Closing value of a stock market vs. day • Continuous-time signals x(t) where t can take any real value x(t) may be 0 for a given range of values of t • Discrete-time signals x[n] where n  {...-3,-2,-1,0,1,2,3...} Sometimes use “sample index” instead of “time” for n • Values for x may be real or complex

  7. Analog vs. Digital Amplitude • At each time value, analog signal amplitude takes real or complex value (a.k.a. continuous-valued) • Digital signal amplitude takes values from a discrete set (a.k.a. discrete-valued) Analog continuous-time signal Digital continuous-time signal 1 -1

  8. 1 flip -1 Deterministic vs. Random Signals • Deterministic signal amplitudes Can be mathematically described, e.g. x(t) = cos(2 pf0t) • Random signal amplitudes Cannot be predicted exactly Cannot be described by a mathematical function Distribution of amplitude values can be defined • Consider flipping fair coin (uniform distribution) Let 1 be heads and -1 be tails Matlab/Mathscript Code flipnumber = 1:10; y = sign(randn(10,1)); stem(flipnumber, y);

More Related