Teaching Digital Signal Processing with MatLab and DSP Kits Authors:

Abstract With the arising of new digital technologies in the global market of telecommunications, multimedia, medical equipment, automatic control, and others, the study of Digital Signal Processing has become a most important subject in electrical engineering courses. A methodology, based on progressive steps, has been developed, so that the students be prepared to design and implement typical industrial projects, such as digital filters, voice processing algorithms, and others, and also be able to correlate this knowledge with other disciplines. They start with an analog system, described by a differential equation, from which a generic discrete equation is generated. The systems that are studied for implementation on the DSP Kit, are always based on a fundamental equation of differences, representing a digital filter: this is very important for the study of digital processing concepts, such as system stability, system order, computational complexity, and so on. The projects are initially simulated with software tools, and they are then implemented with digital signal processing kits. The simulation helps the students to understand a system digitalization process. The results obtained with the students in the course show the efficiency of this methodology. A large part of the success must be credited to DSP tools, which stimulate the students, and enable them to implement digital systems they are interested in. Index Terms DSP, filters, MatLab, signal generators