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EENG 3910: Project V Digital Signal Processing (DSP) System Design. By Instructor: Oluwayomi Adamo Department of Electrical Engineering University of North Texas. Outline. Course Syllabus Digital Signal Processing Basics Computer Architecture Basics

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eeng 3910 project v digital signal processing dsp system design

EENG 3910: Project V Digital Signal Processing (DSP) System Design


Instructor: Oluwayomi Adamo

Department of Electrical Engineering

University of North Texas

  • Course Syllabus
  • Digital Signal Processing Basics
  • Computer Architecture Basics
  • Hands-on Exercise of DSP Programming using Code Composer Studio
course syllabus contact info
Course Syllabus – Contact Info.
  • Instructor: Oluwayomi Adamo
  • Office: B 208
  • Phone : 940-891-6874
  • Email :
  • Class Hours : Th. 1:00 PM - 3:50 PM
  • Classroom : B207
  • Office Hours : Tues. & Thurs. 4:00 PM - 5:00 PM
  • Teaching Assistant : Neelima Kamineni
  • Office Hours : TBD
course syllabus course objective
Course Syllabus - Course Objective
  • Understand 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 objective1
Course Syllabus - Course Objective
  • Implement 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
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 policies
Course Syllabus - Class Policies
  • Class 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.


  • Hands-on Exercises and Report - 50%
  • Projects (Final Projects - 30) – 50%
class policies cntd
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 schedule
Course Syllabus - Schedule
  • First 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 semester
    • Every 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
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.

analog signal




analog signal

General Block Diagram of a DSP System

  • 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.
real time dsp
Real-Time DSP
  • Real-time DSP combines
    • Digital signal processing theories
      • You 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 engineering
      • You 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
  • 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 system
    • The system will fail if the processing is not done in a timely manner.
  • Soft real-time system
    • The 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 architecture
Computer Architecture
  • Computer 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









Basic Microprocessor System











CPU (Central Processing Unit)

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

real time dsp programming using ccs
Real-time DSP Programming using CCS
  • CCS 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 matlab
DSP Simulation using MATLAB
  • MATLABis an integrated technical computing tool
    • Math 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 MATLAB

(type “matlab tutorial” in google and it will be the first result.)

assignment 0
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 Calculations

    • Tutorial 8 - Visualizing Data (Plotting)

  • Before you leave, show your results to the instructor.
hands on 0
Hands-On 0
  • Choose 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.