From fixed-point processors to android: A hybrid course for real-time DSP laboratory

Current trends and popularity in embedded systems present an opportunity to modernize real-time digital signal processing (DSP) education. In this paper, we describe a hybrid real-time DSP laboratory course that starts with a fixed-point DSP processor to teach sample-by-sample processing, and then switches to the Google Nexus 7 tablet for block-based processing. This hybrid approach preserves the principles and components that embody real-time DSP education while spanning the full range of today's embedded signal processing applications.