Chair: Delores M. Etter, University of Colorado, (USA)
H. Joel Trussell, North Carolina State University (USA)
Sarah A. Rajala, North Carolina State University (USA)
The senior level Digital Signal Processing (DSP) course at North Carolina State University is designed to teach basic methods of describing and analyzing digital signals and systems. In order to reinforce this approach, the laboratory is designed to demonstrate DSP concepts with actual signals and systems. The lab requires no programming but gives the student the opportunity to see the application of theory by manipulating and analyzing real signals. The basis for the lab is a dual channel, multiple scope software package that allows the student simultaneous viewing of time domain and frequency domain signals.
T. Aboulnasr, University of Ottawa (CANADA)
This paper summarizes our approach to teaching Digital Signal Processing at the University of Ottawa. We are restricted to one fourth year all- inclusive course in which we try to cover all the basics of DSP while introducing students to software/hardware tools and applications. It is our belief that based on a balanced combination of DSP packages, high level programming and hardware components; we are able to achieve our objectives in the limited time available.
Matti Karjalainen, Stanford University (USA)
Martti Rahkila, Helsinki University of Technology (FINLAND)
In this paper a Computer-Based Education (CBE) system is described that is built on top of the QuickSig DSP programming environment. As two CBE applications we discuss the implementation and use of Introduction to Signal Processing and Fundamentals of Psychoacoustics that exploit modern multi and hypermedia features on new computers. The signal processing that is applied, the sound I/O, the graphical user interface, and the CBE navigation system are presented.
A. Donder, University of Ulm (GERMANY)
M. Beck, University of Ulm (GERMANY)
M. Bossert, University of Ulm (GERMANY)
J. Hess, University of Ulm (GERMANY)
U. Ketzer, University of Ulm (GERMANY)
W.G. Teich, University of Ulm (GERMANY)
Simulation in Information Technology is a course on system simulation that is offered by our department to graduate students which are majoring in communications engineering. The course imparts a fundamental knowledge of simulation tools and of mobile communication systems. The simulation tool which is used in the course is COSSAP (Communication Systems Simulation and Analysis Package) and the considered communication system is GSM (Global System for Mobile communications). In this paper we give an introduction into COSSAP, into GSM and especially into the course structure. In addition, some simulation results will be given, i.e. the improvement of soft decision decoding versus hard decision decoding.