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Teaching Adaptive Filters and Applications in Electrical and Computer Engineering Technology Program

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Conference

2012 ASEE Annual Conference & Exposition

Location

San Antonio, Texas

Publication Date

June 10, 2012

Start Date

June 10, 2012

End Date

June 13, 2012

ISSN

2153-5965

Conference Session

Outstanding Contributions to Student Learning through Laboratory Experiences

Tagged Division

Division Experimentation & Lab-Oriented Studies

Page Count

16

Page Numbers

25.1238.1 - 25.1238.16

DOI

10.18260/1-2--21995

Permanent URL

https://peer.asee.org/21995

Download Count

687

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Paper Authors

biography

Jean Jiang Purdue University, North Central

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Jean Jiang is currently with the College of Engineering and Technology at Purdue University, North Central, Westville, Ind. She received her Ph.D. degree in electrical engineering from the University of New Mexico in 1992. 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 two textbooks: 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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biography

Li Tan Purdue University, North Central

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Li Tan is currently with the College of Engineering and Technology at Purdue University North Central, Westville, Ind. He received his Ph.D. degree in electrical engineering from the University of New Mexico in 1992. Tan is a Senior Member of IEEE. His principal technical areas include digital signal processing, adaptive signal processing, and digital communications. He has published a number of papers in these areas. He has authored and co-authored three textbooks: Digital Signal Processing:Fundamentals and Applications, Elsevier/Academic Press, 2008; 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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Abstract

Teaching Adaptive Filters and Applications in Electrical and Computer Engineering Technology ProgramAbstract In this paper, we present pedagogy and experiences for teaching adaptive filtering andapplications in the advanced signal processing (DSP) course for electrical and computerengineering technology (ECET) program. The course is elective for senior students anddesignated as the second DSP course with focusing on real-time processing and adaptivefiltering applications. The second course is offered according to the current industry trendin the DSP area and students interest in their career development. The course pre-requisite assumes that students acquired working knowledge and skills of Laplacetransform, Fourier series, Fourier transform, z-transform, discrete Fourier transform,digital filter design, and real-time DSP experience with TX320TMS67C13 DSK in thefirst DSP course. Although adaptive filtering is an exciting topic, in which many real-lifeapplications can be explored, teaching this topic is often challenging due to the extensiveuse of mathematics such as matrices and statistics, especially for technology students. Inthis paper, we demonstrate that the used traditional math can be simplified to theminimum level so that technology students can easily understand and grasp key concepts.Furthermore, with MTALAB software tool and real-time DSP using a floating-pointdigital signal processor, TX320TMS67C13 DSK, students can apply the adaptivefiltering techniques in applications such as noise cancellation, speech processing, as wellas line enhancement, echo cancellation and active noise control. We also show thatTX320TMS67C13 DSK is an effective tool in teaching real-time adaptive filters. Inaddition, real-time implementation techniques for adaptive filtering projects are presented. In this paper, we will describe the pedagogy for teaching adaptive filtering principleswith MATLAB simulations and then focus on real-time DSP pedagogy for our hands-onprojects in various adaptive filter applications. We will also examine the assessmentaccording to our collected data from course evaluation, student surveys and studentcourse work. Finally we will address the possible improvement based on our assessment.References1. L. Tan, Digital Signal Processing: Fundamentals and Applications. Elsevier/AcademicPress, 2008.2. L. Tan and J. Jiang, A Simple DSP Laboratory Project for Teaching Real-Time SignalSampling Rate Conversions, the Interface Technology Journal, Vol. 9, No. 1, Fall 2008.3. N. Kehtaranavaz, and B., Simsek, C6x-Based Digital Signal Processing, Prentice Hall,Upper Saddle River, New Jersey 07458, 2000.4. Texas Instruments, TMS320C6x CPU and Instruction Set Reference Guide, LiteratureID# SPRU 189C, Texas Instruments, Dallas, Texas, 1998.5. Texas Instruments, Code Composer Studio: Getting Started Guide, Texas Instruments,Dallas, Texas, 2001.6. L. Tan, J. Jiang, “Teaching Advanced Digital Signal Processing with MultimediaApplications in Engineering Technology Programs,” ASEE Annual Conference, June2009.7. Ifeachor, Emmanuel and Jervis, Barrie. Digital Signal Processing, A PracticalApproach, Prentice-Hall Publishing, 2002.8. de Vegte, Joyce Van. Fundamentals of Digital Signal Processing, Prentice-HallPublishing, 2002.

Jiang, J., & Tan, L. (2012, June), Teaching Adaptive Filters and Applications in Electrical and Computer Engineering Technology Program Paper presented at 2012 ASEE Annual Conference & Exposition, San Antonio, Texas. 10.18260/1-2--21995

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