By Instructor: Oluwayomi Adamo

Department of Electrical EngineeringUniversity of North Texas

EENG 3910: Project V Digital Signal Processing (DSP)

System Design

OutlineCourse SyllabusDigital Signal Processing BasicsComputer Architecture BasicsHands-on Exercise of DSP Programming

using Code Composer Studio

Course Syllabus – Contact Info.Instructor: Oluwayomi Adamo Office: B 208 Phone : 940-891-6874Email : oluwayomi.adamo@unt.edu Class Hours : Th. 1:00 PM - 3:50 PM Classroom : B207Office Hours : Tues. & Thurs. 4:00 PM - 5:00

PM Teaching Assistant : Neelima KamineniOffice Hours : TBD

Course Syllabus - Course ObjectiveUnderstand the basics of computer

architecture and digital signal processor architecture;

Develop basic understanding of real-time processing and real-time system, either soft or hard real-time;

Develop basic understanding of theories of digital signal processing, including sampling and reconstruction of signals, FIR and IIR filter design, and FIR and IIR filtering of signals;

Develop basic understanding of Fast Fourier Transforms (FFT), spectral analysis and windowing through hands-on exercises;

Course Syllabus - Course ObjectiveImplement and simulate signal processing

algorithm in MATLAB, LABview and C;Program and implement signal processing

algorithm in C programming language on TI DSK hardware/software platform;

Understand real-time DSP specific programming techniques, including interrupt-based processing, sample by sample processing, frame-based processing, and various periodic signal generation techniques

Understand basics of audio signal sampling, processing and special effects as well as related hardware connection and configuration (Microphone, computer/DSK, speaker

Course Syllabus (cntd)Prerequisite: Signals and Systems (EENG

2620) Required Textbooks : Real-Time Digital

Signal Processing from MATLAB to C with the TMS320C6x DSK, T. B. Welch, C. H. G. Wright, and M. G. Morrow, CRC Press, Taylor & Francis Group, LLC, 2006

Course Syllabus - Class PoliciesClass and lab attendance is mandatory;All lab assignments and assignment reports

are individual work. However, Discussion of course material is

encouraged.Assignments are due before class and late

assignments will be penalized.Grading:Hands-on Exercises and Report - 50% Projects (Final Projects - 30) – 50%

Class Policies (cntd)All Hands-on Exercises will be assigned one

week earlier. You are required to study the assignments and

related theories in the corresponding book chapters before coming to the class.

Pre-lab assignments will be EVALUATED and GRADED in class.

If you encounter any questions on the lab assignments or related theories, you need to get help from TA or instructor before the lab session.

Towards the end of the semester, you will need to design and implement a final project (groups of 2 or 3 ).

Final Project deliverables include a final project report and presentation in the final week.

Course Syllabus - ScheduleFirst half of the semester

Every week we deal with one important DSP concept.You will learn the basic theories by reading before

Hands-on session.You will learn to write real-time DSP programs and

implement DSP algorithms during Hands-on sessions.Submit weekly assignment report in the following week.

Second half of the semesterEvery week you will work on a project outlined in the

book.You will load the programs and run the project following

instructions in the book.You will need to make some changes to the original

project implementation following the instruction in the assignments.

Submit weekly assignment report in the following week.Final Project (group project with 2-3 person/group)

You design.You implement.Submit final project report and present your project in

the final week.

Tips for Success Study the book and assignment materials before the lab

session. Do Matlab experiments before lab session! Read/study code

files in the book CD before lab session. Timely submission of assignment reports will be particularly

enforced. Your grade will suffer from late assignment submissions.

Strictly following schedule is one of the most important principles that you will need to follow as an engineer – You will be an engineer in less than 2 years!

Prepare for the lab early every week; Please consult with your TA or instructor before lab session to make sure you can finish the lab on-time in class.

Be inquisitive by asking “Why” in this course! Make your assignment report as detailed as possible and

explain clearly what you have done in the lab. It also helps communicating with TA about specific

requirements and expectations on the report.

DSP Digital Signal Processing (DSP)

Is the manipulation of digital signals in order to modify their characteristic or to extract useful information. Why digital and not analog?

Digital signal allow programmability, Digital circuit allow for stable output than analog Microprocessors and computers have become so powerful only digitized signal can be processed by computers.

Digital Signal Processor (DSP) DSP is a specialized microprocessor optimized for signal processing. General purpose microprocessors such as Pentium series

microprocessors that are used in PC are not optimized for signal processing purposes.

A/Dconverter

DSPalgorithms

D/Aconverter

analog signal

analog signal

General Block Diagram of a DSP System

Real-Time DSPReal-time DSP combines

Digital signal processing theoriesYou need to understand what you are doing and why it

works.Computer engineering

To do real-time DSP programming, you will need good understanding of computer organization, microprocessor architectures, digital and analog circuits, …

Software engineeringYou will need to implement DSP algorithms in Matlab

and on DSP platforms using C and LABview programming language. So, you need to be a very good programmer.

Real-Time Processing Real-time processing means:

The processing of a particular sample must occur within a given time period or the system will not operate properly.

Real-time DSP is inherently an interrupt driven process. The input samples should only be processed using interrupt service routines (ISR).

Hard real-time systemThe system will fail if the processing is not done in a timely manner.

Soft real-time systemThe system will tolerate some failures to meet real-time targets and

still continue to operate, but with some degradation in performance.

The performance demands and power constraints of real-time systems often mandate specialized hardware.That may include the digital signal processor (DSP), programmable

logic devices, application specific integrated circuits (ASIC), and etc.

Computer ArchitectureComputer architecture is:

“… an abstract interface between the hardware and the lowest level software of a machine that encompasses all the information necessary to write a machine language program that will run correctly, including instructions, registers, memory size, and so on.”

Think about your computer for a moment. What are the major components of your computer???????

Basic Microprocessor System

CPU (Central Processing Unit)

Clock&

Reset

Timing&

Control

ALU

R0R1R2R3R4R5R6R7

Input/OutputSubsystem

MemorySubsystem

ExternalDevices

Registers

Read Appendix D for more details. You will learn Computer Architecture/Organization in EENG 3710.

Real-time DSP Programming using CCSCCS stands for Code Composer Studio

It’s Texas Instruments’ (TI) integrated development environment (IDE) software for developing programs on a wide variety of their DSP’s.

In CCS, the code editing, code generation, and debugging tools are all integrated into one unified environment.

Read Appendix A for more details.Follow the step-by-step instruction in Appendix A

to get familiar with the software. You will do most of the programming using CCS in this semester.

DSP Simulation using MATLABMATLAB is an integrated technical computing

toolMath and computation Algorithm development Data acquisition Modeling, simulation, and

prototyping Data analysis, exploration, and visualization Scientific and engineering graphics Application development, including graphical user

interface building Go through the tutorial at MathWorks to get

yourself familiar with MATLABhttp://www.mathworks.com/academia/student_cent

er/tutorials/launchpad.html(type “matlab tutorial” in google and it will be the first result.)

Assignment 0 Open an existing project in C:\EENG3910Project and try

to run it. Appendix A

Create a .m file which plots a SIN wave. Tutorial 7 - Performing Calculationshttp://www.mathworks.com/academia/student_center/tutorials/performing_calculations.html

Tutorial 8 - Visualizing Data (Plotting)

http://www.mathworks.com/academia/student_center/tutorials/visualizing_data.html

Before you leave, show your results to the instructor.

1 2 3 4 5 6 7 8 9 10-1

-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

Hands-On 0Choose a computer and stick to it for the rest

of the semester.The directory C:\EENG3910Project is a copy of

the textbook CD. You can modify files, source codes in this directory. A good practice is to make comment wherever you make changes.

C:\DSPCD is a read-only copy of the textbook CD and is used for restoring EENG3910Project directory.

Always remember to save your modified files to your flash drive, student storage, e-mail, etc.