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Teaching Digital Signal Processing Course with a Real-Time Digital Crossover System for Electrical and Computer Engineering Technology Students

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2014 ASEE Annual Conference & Exposition


Indianapolis, Indiana

Publication Date

June 15, 2014

Start Date

June 15, 2014

End Date

June 18, 2014



Conference Session

Laboratory Experiences with Signal Processing and Controls

Tagged Division

Division Experimentation & Lab-Oriented Studies

Page Count


Page Numbers

24.1158.1 - 24.1158.17



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Paper Authors


Jean Jiang Purdue University, North Central

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DR. JEAN JIANG is currently with the College of Engineering and Technology at Purdue University North Central in Westville, Indiana. She received her Ph.D. degree in Electrical Engineering from the University of New Mexico in 1992. Before she joined Purdue University in 2009 as a faculty member, Dr. Jiang had taught analog signal processing, digital signal processing, and control systems for a number of years as a professor at DeVry University in Atlanta, Georgia.
Dr. Jiang is a member of the Institute of Electronic and Electronic Engineers (IEEE). Her principal technical areas are in digital signal processing, adaptive signal processing, and control systems. She has published a number of papers in these areas. She has co-authored three textbooks: Digital Signal Processing: Fundamentals and Applications, Elsevier/Academic Press, 2nd edition, 2013, Fundamentals of Analog and Digital Signal Processing, Second Edition, AuthorHouse, 2008 and Analog Signal Processing and Filter Design, Linus Publications, 2009.

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Teaching Digital Signal Processing Course with a Real Time Digital Crossover System for Electrical and Computer Engineering Technology StudentsAbstractThis paper presents pedagogies and experiences for teaching digital signal processing (DSP) withreal-time processing experiences in the electrical and computer engineering technology (ECET)program using a digital crossover system. In our ECET curriculum, the engineering technologystudents often face their challenging in studying the signal processing related courses due to theuse of heavy mathematics. Although adopting MATLAB as an analysis and simulation tool is agreat help, the engineering technology students are especially motivated by their real-timeprocessing learning experiences. To accommodate such a learning environment, our DSP coursewith laboratories has been improved, in which each lab concurrently requires MATLABsimulations as well as real-time processing coding with a digital signal processor such asTX320TMS67C13 DSK.This DSP course is the second signal processing course in electrical and computer engineeringtechnology (ECET) program. The pre-requisite includes student working knowledge and skills ofLaplace transform, Fourier series, Fourier transform, and different types of analog active filterdesign. After completing the course, students not only become familiar with MATLAB softwaredevelopment tools, but also gain the real-time analog signal processing experience. In this class,they learn to design digital low-pass, high-pass and band-pass filters and then program themusing MATLAB and C, and apply the software and hardware interface for real speechapplications such as in a crossover system. Comparing with the traditional DSP course whichmainly focus on heavy mathematical development in sampling and recovering, spectrumanalysis, FIR or IIR filter design with the limited computer simulations, our real-time crossoverproject allows students easily understand how a speech signal or music being processed andseparated by a bass (woofer) and a tweeter after they design the proper low-pass and high-passfilters and apply two DSP boards (TX320TMS67C13 DSK). Therefore, in this paper, we firstpresent a complete digital crossover platform, MATLAB design and simulations, developed Ccode inserted in both of DSP boards, crossover outputs and test results. Secondly, we address theoutcomes of students learning achievement including continuous applications of their acquiredDSP skills in other related courses and their motivations for continuing to pursue the upper-levelsignal processing related courses such as the advanced digital signal processing with multimediaapplications. More importantly, we examine the course assessment according to analysis of thecollected data from students’ learning outcome survey, project evaluation, and further addressthe possible improvements of the course content based on our assessment.References:1. L. Tan and J. Jiang, Digital Signal Processing: Fundamentals and Applications, Elsevier/Academic Press, 2nd edition, 2013.2. Texas Instruments, TMS320C6x CPU and Instruction Set Reference Guide, Literature ID#SPRU 189C, Texas Instruments, Dallas, Texas, 1998.3. Texas Instruments, Code Composer Studio: Getting Started Guide, Texas Instruments, Dallas,Texas, 2001.4. L. Tan, J. Jiang, “Teaching Advanced Digital Signal Processing with Multimedia Applicationsin Engineering Technology Programs,” ASEE Annual Conference, June 2009.5. de Vegte, Joyce Van. Fundamentals of Digital Signal Processing, Prentice-Hall Publishing,2002.6. Ifeachor, Emmanuel and Jervis, Barrie. Digital Signal Processing, A Practical Approach,Prentice-Hall Publishing, 2002.7. C. Wicks, “Lessons Learned: Teaching Real-Time Signal Processing,” IEEE SignalProcessing Magazine, pp. 181-185, November 2009.

Jiang, J. (2014, June), Teaching Digital Signal Processing Course with a Real-Time Digital Crossover System for Electrical and Computer Engineering Technology Students Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--23091

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