Design of a Remote Signal Processing Student Lab

We describe our experience of introducing digital signal processing (DSP) concepts via a software-defined radio project using a very inexpensive TV USB capture dongle. Through a series of weekly lab exercises, the students learned and applied DSP concepts to design a completely digital FM receiver. The proposed lab experience introduced concepts, such as sampling, IQ signal representation, sample rate conversion, filter design, filter delays, and more, all with an attractive learn-by-doing approach. The first offering of this course initially took place in Fall 2014 and has been successfully offered and repeated with growing success ever since. Our experience can serve as a proof of concept of the possibility of carrying out, in a massive open online course-like fashion, certain engineering labs that require inexpensive and readily available hardware components.

[1]  Huseyin Arslan,et al.  Software Defined Radio Architectures for Cognitive Radios , 2007 .

[2]  Naveen Kumar,et al.  Towards Adapting Sakai for e-Learning Provider , 2015, CSEDU.

[3]  L.J. Karam,et al.  An Online Web-Based Real Time Digital Signal Processing Course , 2006, Proceedings. Frontiers in Education. 36th Annual Conference.

[4]  Alberto Corbi,et al.  Semi-Automated Correction Tools for Mathematics-Based Exercises in MOOC Environments , 2015, Int. J. Interact. Multim. Artif. Intell..

[5]  Fionn Murtagh,et al.  DataLab-J: a signal and image processing laboratory for teaching and research , 2001, IEEE Trans. Educ..

[6]  Wei Zhan,et al.  Experiential Learning of Digital Communication Using LabVIEW , 2014, IEEE Transactions on Education.

[7]  T. Sansaloni,et al.  FFT Spectrum Analyzer Project for Teaching Digital Signal Processing With FPGA Devices , 2007, IEEE Transactions on Education.

[8]  Sabrina Hirsch,et al.  Digital Signal Processing A Computer Based Approach , 2016 .

[9]  Gráinne Conole,et al.  MOOCs as disruptive technologies: strategies for enhancing the learner experience and quality of MOOCs Los MOOC como tecnologías disruptivas: estrategias para mejorar la experiencia de aprendizaje y la calidad de los MOOC. , 2016 .

[10]  Petre Stoica,et al.  Introduction to spectral analysis , 1997 .

[11]  Aníbal Ferreira,et al.  Grasping the potential of digital signal processing through real-time DSP laboratory experiments , 2002, Proceedings of 2002 IEEE 10th Digital Signal Processing Workshop, 2002 and the 2nd Signal Processing Education Workshop..

[12]  Alan V. Oppenheim,et al.  Discrete-time Signal Processing. Vol.2 , 2001 .

[13]  Eric Blossom,et al.  GNU radio: tools for exploring the radio frequency spectrum , 2004 .

[14]  G. R. Danesfahani,et al.  Optimisation of modified Mueller and Muller algorithm , 1995 .

[15]  K P Soman,et al.  Plug-ins for GNU Radio Companion , 2012 .

[16]  Amit Kumar Mishra,et al.  A Review of Hardware Platforms for Whitespace Communication , 2015 .

[17]  Albert J. Rosa,et al.  The Role of the Laboratory in Undergraduate Engineering Education , 2005 .

[18]  Woon-Seng Gan.  Teaching and learning the hows and whys of real-time digital signal processing , 2002, IEEE Trans. Educ..

[19]  Md. Habibur Rahman,et al.  A Practical Approach to Spectrum Analyzing Unit Using RTL-SDR , 2016 .

[20]  Javier Gámez García,et al.  Advanced LMS Integration of SCORM Web Laboratories , 2016, IEEE Access.

[21]  J. Kellett.  London , 1914, The Hospital.

[22]  Richard G. Lyons,et al.  Understanding Digital Signal Processing , 1996 .

[23]  W. Marsden.  I and J , 2012 .