ECE 513 Digital Signal Processing

Digital processing of analog signals. Offline and real-time processing for parameter, waveshape and spectrum estimation. Digital filtering and applications in speech, sonar, radar, data processing and two-dimensional filtering and image processing. 3 credit hours.

 
   
   
Prerequisite
  

ECE 421, B average in ECE and MA or Consent of Instructor

 
Course Topics  

The following subjects are covered:

  1. Review of Fundamental DSP Concepts
    a. Discrete–Time Signals and Systems
    b. The Z–Transform and its Applications to the Analysis of LTI Systems
    c. Frequency Analysis of Signals
    d. Frequency Domain Analysis of LTI Systems
  2. Sampling and Reconstruction of Signals
  3. The Discrete–Time Fourier Transform: Its Properties and Applications
  4. Implementation of Discrete–Time Systems
  5. Analysis of Finite Word Length Effects
  6. Design of Digital Filters
  7. Multirate Digital Signal Processing
  8. Adaptive Filters

 
Course Objectives  

The goals of this course are to provide graduate students with an understanding of discrete–time signals and the analytical tools to analyze and design digital signal processing systems. Upon completion of the course, the students will be able to:

  1. design FIR and IIR digital filters to meet arbitrary specifications,
  2. develop algorithms to implement digital filters using Matlab or other high level languages such as C++,
  3. analyze the effects of the use of finite word sizes for the implementation of digital signal processing algorithms,
  4. develop and analyze algorithms for multirate digital signal processing, and
  5. be able to design and implement digital signal processing algorithms for applications related to digital communications, data acquisition,spectrum analysis, etc.

 
Course Requirements  
Homework:
Homework and computer assignments (25%)
Some homework assignments require writing Matlab routines for implementing digital signal processing algorithms.

Exams:
2 exams during the semester (20% each for a total of 40%)
Final exam (35%)

Software Requirements:
  1. Matlab (The student version of Matlab with the Signal Processing Tool Box is the minimum acceptable level). Matlab can be accessed through the Virtual Computing Lab if you have a high speed internet connection.
  2. Word Processor to prepare home work assignments in a presentable manner.
Textbook
  

John G. Proakis and Dimitris G. Monolakis, Digital Signal Processing: Principles, Algorithms and Applications, fourth edition, Pearson Prentice Hall, 2007,
ISBN 0073048372.

 
References  

Sanjit K. Mitra, Digital Signal Processing, A Computer Based Approach, Third
Edition, McGraw Hill, New York, NY, 2006, ISBN 0-07-286546-6.

Emmanuel C. Ifeachor and Barrie W. Jervis, Digital Signal Processing: A Practical Approach, Prentice Hall, Englewood Cliffs, NJ, Second Edition, 2002, ISBN 0-201-59619-9.

Roberto Cristi, Modern Digital signal Processing, Brooks/Cole,Pacific Grove, CA
93950, 2004, ISBN 0-534-40095-7.

Alan V. Oppenheim and Ronald W. Schafer with John R. Buck, Discrete–Time
Signal Processing, Prentice Hall, Englewood Cliffs, NJ, 1999, Second Edition,
ISBN 0-13-754920-2.

The following link is to the Mathworks page for books related to the use of Matlab: http://www.mathworks.com/support/books/
Computer and Internet Requirements  

NCSU has recommended minimum specifications for computers used for classes. Depending on your computer needs, we recommend your computer meet or exceed the following minimum specifications below.

PCs must have an Intel-compatible 1 GHz processor, 512 MB RAM, 60 GB hard drive with 1 GB free space available, 256 Color Display, CD-ROM drive, 1024x768 (min.) video adapter, sound card, and speakers. The operating system should be Windows XP Pro. Real One Player Basic (available free online) and high speed Internet connection such as cable, DSL, T1 or LAN will be required for EOL courses.

MAC users must have a G4 processor with firewire and USB factory built-in, 512 MB RAM, 60 GB with 1GB free space available, 256 Color Display, CD-ROM drive, 1024x768 (min) video adapter, sound card, and speakers. The operating system must be MacOS 10.4 (minimum) along with the above RealOne and Internet specifications above.

For more detailed information on computer specifications and recommendations, please refer to our website at: http://engineeringonline.ncsu.edu/currentstudents/computeraccess.htm

 

Instructor  

Dr. Winser E Alexander, Professor
Dept. of Electrical & Computer Engineering
North Carolina State University
Engineering Bldg II (COE II) 2102, Box 7911
Raleigh, NC 27695

Phone: 919-515-5190
Fax: 919-515-5523
EMail: winser@ncsu.edu
Instructor Website: http://www4.ncsu.edu/~winser/