【ebook】<<Practical Analog and Digital Filter Design>> （2004）

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semico_ljj

CHAPTER CONTENTS
Chapter 1 introduces the reader to the filter design problem. An overview of
WFilter is presented. Chapter 2 develops the normalized transfer functions for the
Butterworth, Chebyshev, inverse Chebyshev, and elliptic approximation cases.
Chapter 3 describes the conversion of the normalized lowpass filter to an
unnormalized lowpass, highpass, bandpass, or bandstop filter. In addition, the
calculation of the frequency response for analog filters is discussed. By the end of
the third chapter, a complete analog filter design can be performed. In Chapter 4,
the implementation of analog filters is considered using popular techniques in
active filter design with discussion of real-world considerations. A PSpice circuit
description file is generated to enable the filter developer to analyze the circuit.
Chapter 4 completes the discussion of analog filters in this book.
Chapter 5 begins the discussion of discrete-time systems and digital filter
design in this book. Several key features of discrete-time systems, including the
notion of analog-to-digital conversion, Nyquist sampling theorem, the z-transform,
and discrete-time system diagrams, are reviewed. Similarities and differences
between discrete-time and continuous-time systems are discussed. In Chapter 6,
digital IIR (recursive) filters are designed. Three methods of designing IIR filters
are considered. In addition, the frequency response calculations and related C code
for the IIR filter are developed. Chapter 7 considers digital FIR (nonrecursive)
filters using a variety of window methods and the Parks-McClellan optimization
routine. The special techniques necessary for FIR frequency response calculation
are discussed. The implementation of real-time and nonreal-time digital FIR and
IIR filters is discussed in Chapter 8. Implementation issues such as which type of
digital filter to use, accuracy of quantized samples, fixed or floating point
processing, and finite register length computation are discussed. The reader can
then hear the effects of filtering by replaying the original and processed sound
files on a sound card. Chapter 9 completes the text with an introduction of the
discrete Fourier transform and the more efficient fast Fourier transform (FFT).
The reader will learn how to use the FFT in filtering applications and see the code
necessary for this operation.
For those readers who desire filter design references or further details of the C
code for the design of analog and digital filters, nine separate appendixes provide
that added information.

semico_ljj

About the Author
Les Thede is a professor of electrical and computer engineering at Ohio Northern
University, Ada, Ohio. A former design engineer for Motorola, Inc., he holds a
B.S and M.S. in electrical engineering from the University of Iowa and a Ph.D. in
engineering science from the University of Toledo. He established the DSP lab at
Ohio Northern University in 1989 and has written several articles on filter design
and C programming. He has written a previous book on analog and digital filter
design and currently is teaching courses in filter design, digital signal processing,
and image processing. He is a member of IEEE and ASEE. His e-mail address is
l-thede@onu.edu.