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Teaching Advanced Digital Signal Processing With Multimedia Applications In Engineering Technology Programs

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2009 Annual Conference & Exposition


Austin, Texas

Publication Date

June 14, 2009

Start Date

June 14, 2009

End Date

June 17, 2009



Conference Session

Curriculum in Electrical and Computer Engineering Technology: Part II

Tagged Division

Engineering Technology

Page Count


Page Numbers

14.1123.1 - 14.1123.19



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Paper Authors

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Li Tan Purdue University, North Central


Jean Jiang DeVry University, Decatur, GA

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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 a textbook: Fundamentals of Analog and Digital Signal Processing, Second Edition, AuthorHouse, 2008.

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NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract

Teaching Advanced Digital Signal Processing with Multimedia Applications in Engineering Technology Programs Li Tan College of Engineering and Technology Purdue University North Central

Jean Jiang College of Engineering and Technology Purdue University North Central


In this paper, we present our pedagogies and experiences from teaching advanced digital signal processing (DSP) within the engineering technology curricula, which include electrical, biomedical, and computer engineering technologies. The course is an elective for senior students and is designated as the second DSP course in engineering technology programs with a focus on real-time processing and multimedia applications. The course prerequisite assumes that the students have acquired working skills of the Laplace transform, the Fourier analysis, the z- transform, the discrete Fourier transform, and analog and digital filters from the first DSP course. In this course, the technology students will continue to explore advanced techniques such as real- time digital filter implementations, adaptive filtering, multi-rate signal processing, and digital image processing, and will further examine DSP applications in the areas of telecommunications, biomedical engineering, and multimedia systems. By offering a broad coverage of topics and case studies, the course could possibly be beneficial to all electrical, biomedical, and computer engineering technology students.

Since teaching advanced DSP topics throughout the engineering technology program has the requirement of being at a hands-on and engineering technology level, adopting traditional teaching approaches and using textbooks dealing with complicated mathematics and theories used in a four-year engineering program may not be appropriate. In this paper, we will explain course prerequisites and will describe our teaching methods, which include real-time signal processing laboratories using low-cost DSP processors, and hands-on projects. We will also present a course assessment and outcome, which will include how the students apply their gained DSP knowledge to their capstone senior projects. Finally, we will address the possible improvement of the course content and associated laboratories.

I. Introduction

Digital signal processing (DSP) technology and its advancements have continuously impacted the disciplines of electrical, computer, and biomedical engineering technology programs. This is due to the fact that DSP technology plays a key role in many current applications of electronics, which include digital telephones, cellular phones, digital satellites, digital TV’s, ECG analyzers, digital X-rays, and medical image systems in the areas of communications, instrumentation, and biomedical signal processing. There are many DSP related products such as digital voice recorders, CD/DVD players, MP3 players, digital cameras, internet audios, and images and

Tan, L., & Jiang, J. (2009, June), Teaching Advanced Digital Signal Processing With Multimedia Applications In Engineering Technology Programs Paper presented at 2009 Annual Conference & Exposition, Austin, Texas. 10.18260/1-2--4561

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