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Computer Aided Design Of Digital Filters

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Conference

1998 Annual Conference

Location

Seattle, Washington

Publication Date

June 28, 1998

Start Date

June 28, 1998

End Date

July 1, 1998

ISSN

2153-5965

Page Count

8

Page Numbers

3.148.1 - 3.148.8

Permanent URL

https://peer.asee.org/6972

Download Count

637

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Paper Authors

author page

S. Hossein Mousavinezhad

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

Session 3532

Computer Aided Design of Digital Filters

S. Hossein Mousavinezhad Professor and Chair Department of Electrical and Computer Engineering Western Michigan University Kalamazoo, Michigan 49008 (616) 387-4057 FAX (616) 387-4024 h.mousavinezhad@wmich.edu

I. INTRODUCTION

Digital Signal Processing (DSP) is an important and growing subject area in electrical and computer engineering (ECE) with applications in many engineering/science disciplines including communication systems, biomedical engineering, speech processing, avionics, and automation. In many engineering schools ECE departments offer DSP courses taught at undergraduate and graduate levels. At Western Michigan University, we offer two courses for senior and first year graduate students covering topics such as discrete-time signals and systems, various transforms in signal processing, difference equations, digital filter design techniques/structures, power spectrum estimation, multi-dimensional DSP, finite word length effects, fast algorithms, and adaptive filters.

One important topic in DSP involves designing recursive and non-recursive digital filters and their implementation. Because of the complexity of analog/digital filter design algorithms and their mathematical formulations, students usually have difficulty understanding and appreciating the importance of various types of filters. The author has successfully incorporated the use of computer tools such as MATHCAD and MATLAB into the DSP courses and has implemented digital filters in real time utilizing digital hardware and filter design packages. In this paper we will present various algorithms and numerical examples for designing finite impulse response (FIR) and infinite impulse response (IIR) digital filters using commercial software packages and their real time implementation using Texas Instruments TMS320C31 DSP boards. Signal Processing Toolbox of MATLAB and the ability to simulate mathematical expressions naturally in MATHCAD are very attractive for DSP applications. It is noted that the so-called powerful tools that are available with such courses should be used along with careful classroom presentation of difficult and abstract concepts and underlying principles.

In Section II we present some theoretical background for filter design and discuss some mathematical preliminaries usually needed in a DSP course. Section III includes MATLAB and MATHCAD examples used in a senior-level course offered at our school

Mousavinezhad, S. H. (1998, June), Computer Aided Design Of Digital Filters Paper presented at 1998 Annual Conference, Seattle, Washington. https://peer.asee.org/6972

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