Dr. Karl Molnar
Electrical and Computer Engineering
ECE 513 Digital Signal Processing
3 Credit Hours
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.
Introduction to Signal Processing (NC State ECE 421), B average in ECE and MA or Consent of Instructor
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:
- design FIR and IIR digital filters to meet arbitrary specifications
- develop algorithms to implement digital filters using Matlab or other high level languages such as C++,
- analyze the effects of the use of finite word sizes for the implementation of digital signal processing algorithms,
- develop and analyze algorithms for multirate digital signal processing, and
- be able to design and implement digital signal processing algorithms for applications related to digital communications, data acquisition,spectrum analysis, etc.
The following subjects are covered:
- 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
- Sampling and Reconstruction of Signals
- The Discrete–Time Fourier Transform: Its Properties and Applications
- Implementation of Discrete–Time Systems
- Design of Digital Filters
- Multirate Digital Signal Processing
- Application Examples
|Two semester exams (20% each)||40%|
Textbook and References
The optional texts for this course are
1. J. G. Proakis and D. G. Manolakis, Digital Signal Processing: Principles, Algorithms and Applications, fourth edition, Pearson Prentice Hall, 2007, ISBN 0-13-187374-1.
2. W. E. Alexander and C. Williams, Digital Signal Processing: Principles, Algorithms, and Systems Design, 1st edition, Academic Press, 2016, ISBN: 9780128045473
The following link is to the Mathworks page for books related to the use of Matlab
Computer and Software Requirements
Please review minimum computer specifications recommended by NC State University and Engineering Online.
- 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.
- Word Processor to prepare home work assignments in a presentable manner.