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為了針對VAB
Education kit 的初學者，Hyperception結合許多的大學教授及專業背景的人才，特別匯集及整合相關的"數位信號處理"資訊，提供完整的教學教材--「Multimedia
and Information Engineering」。
本公司為服務客戶的需求，提供完整的相關資訊，詳情請洽
tech@ict.com.tw
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Author
Bio
Geoffrey C. Orsak
Ravindra A. Athale
Scott C. Douglas
David C. Munson
John R. Treichler
Sally L. Wood
Mark A. Yoder （作者詳細資料）
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Table
of Contents
1. The World of Modern Engineering.
Who Created All This Great Stuff?
Scientists and Engineers. Birth of the Digital Age.
Moore's Law. Engineering Design and the Infinity
Technology Kit.
2. Creating Digital Music.
Sound Synthesis. Waveform Synthesis.
Additive Synthesis. Midi and Spectrograms.
3. Designing Digital Instruments.
Physical Modeling. Sound Effects.
Speakers and Microphones.
4. Making Digital Images.
Problem: How to Convince Your Skeptical
Friends that You Really Were There? Digitizing Images.
Putting it Together.
5. Math You Can See.
Do I Have To Do That? Matrix Formulation
of Digital Image Processing. Preprocessing of Digital
Images. Putting the Pieces Together.
6. Digitizing the World.
Digital Yearbook. Representation of
Information as Numbers. Sampling Rate for Waveforms,
Images & Video. Storage Devices and Bits. Binary
Number Representation. The ASCII Code. Quantization of
Signal Samples. Quantization Noise. Design of the
Digital Yearbook.
7. Communicating with Ones and Zeros.
A Simple Communications System. Sources
of Error in a Communications System. The Craft of
Engineering—Improving the Design. Extending Our Reach.
Other Transmission Channels.
8. Networks and the Internet.
Combining Communications Links to Build a
Network. The Relay and its Basic Operation. The
Internet. Issues in the Design of a New Network.
9. Compressing Information.
Introduction to Codes and Coding.
Introduction to Compression. Lossless Compression. Lossy
Compression. Additional Topics.
10. Correcting Digital Errors.
Introduction to Coding for Error
Correction. Error Detection and Correction.
11. Keeping Data Private.
Introduction to Coding for Secrecy.
Simple Encryption Methods. Public Key Cryptography.
12. Digital Processing of Signals.
Frequency Response of a Filter. Digital
Filtering. Simple Digital Filters. Better Filters—The
Complexity/Quality Tradeoff. Echo Cancellation.
13. Communication Channels.
The Transmission Channel. How is Digital
Data Conveyed. The Art of Signal Detection.
Multiplexing—Sharing the Transmission Medium to
Increase Data Rates.
14. The Wireless World.
The Structure of a Radio Communications
System. The Wavelength of an Electromagnetic Wave. The
Design of Antennas. Considerations in the Design of
Radio Systems.
15. Bandwidth.
Making Efficient Use of Bandwidth.
Maximizing the Data Rate. Maximizing the Transmission
Rate.
16. Designing Networks.
Performance Issues. Improving the
Probability of Accurate Delivery. Issues in the Design
of a New Network.
17. Hardware for Digital Storage.
A Brief history of Physical Storage.
Optical Discs. Magnetic Storage. Memory Chips.
18. Hardware for Digital Imaging.
Image Sensors. Displaying Digitized
Images.
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Author
Bio
Geoffrey C. Orsak received the B.S.E.E., M.E.E., and
Ph.D. degrees in electrical and computer engineering from Rice
University, Houston, TX in 1985, 1986, and 1990, respectively.
He is currently Associate Dean of the School of
Engineering at Southern Methodist University, where he is also
Associate Professor of Electrical Engineering. In addition, he is
Director of The Infinity Project, a partnership between SMU, Texas
Instruments, leading national universities, and high schools aimed
at bringing advanced technology and engineering education to the
high school classroom. Prior to coming to SMU, he was Associate
Professor of Electrical and Computer Engineering at George Mason
University, Fairfax, VA, where he also served as Presidential
Fellow. His research interests are in the area of wireless
communications, information theory, and statistical signal
processing. In addition to this work, he has also been active in
the use of high technology for novel forms of pedagogy. In 1995,
together with Professor Delores M. Etter of the University of
Colorado at Boulder, he cofounded SPEC–The Signal Processing
Education Consortium, a geographically distributed consortium of
faculty whose aim is to advance DSP education at the undergraduate
level. He has been a past recipient of the NSF Research Initiation
Award 1991-1994 and is a member of Eta Kappa Nu.
During 1998-1999, Dr. Orsak served as a member
of the Defense Science Study Group, a program "that
introduces outstanding young scientists and engineers to
challenges facing national security," which is sponsored by
DARPA and the Institute for Defense Analyses.
Ravi Athale received the B.Sc.
degree in 1972 from University of Bombay and the M.Sc degree in
1974 from Indian Institute of Technology, Kanpur, both in physics.
He received the Ph.D. degree in 1980 in electrical engineering
from University of California, San Diego.
From 1981 to 1985 he worked as a Research
Physicist at US Naval Research Laboratory, Washington, DC. His
areas of research were optical signal and image processing
systems. From 1985 to 1990 he was a Senior Principal Staff Member
at BDM Corporation, McLean, VA, where he headed a group in Optical
Computing. His research there concerned optical interconnects and
multistage switching networks and optical neural network
implementations. Since 1990 he has been an Associate Professor
with the Electrical and Computer Engineering Department, George
Mason University, Fairfax, VA. His research at GMU has been in the
areas of fiber optic signal processing and the analysis of
fundamental limitations in optical interconnection networks. At
George Mason University, he was a joint developer of a freshman
introductory course for electrical engineering students, which
focused on information technology aspects of EE. He is currently
developing a new course on the principles of information
technology, which is aimed at non-science/engineering major
students and is a part of the information technology minor at
George Mason University.
Dr. Athale has been awarded several patents in
optical processing and computing. He is a cofounder of HoloSpex™,
Inc. and a co-inventor of HoloSpex™ glasses, the
first consumer product that is based on far-field holograms. He
was elected Fellow of the Optical Society of America in 1989.
Scott C. Douglas received the B.S.
degree (with distinction), and the M.S., and Ph.D. degrees, all in
electrical engineering from Stanford University, Stanford, CA, in
1988, 1989, and 1992, respectively.
From 1992 to 1998 he was an Assistant Professor
with the Department of Electrical Engineering, University of Utah,
Salt Lake City. Since August 1998, he has been an Associate
Professor with the Department of Electrical Engineering, School of
Engineering and Applied Science, Southern Methodist University,
Dallas, TX. His research activities include adaptive filtering,
active noise control, blind deconvolution and source separation,
and VLSI/hardware implementations of digital signal processing
systems.
Dr. Douglas received the Hughes Masters
Fellowship Award in 1988 and the NSF Graduate Fellowship Award in
1989. He was a recipient of the NSF CAREER Award in 1995. He is
the author or coauthor of four book chapters and more than 80
articles in journals and conference proceedings. He also served as
a section editor for The Digital Signal Processing Handbook
(Boca Raton, FL: CRC Press, 1998).
David C. Munson, Jr. was born in
Red Oak, IA, in 1952. He received the B.S. degree in electrical
engineering (with distinction) from the University of Delaware,
Newark, DE, in 1975, and the M.S., M.A., and Ph.D. degrees in
electrical engineering from Princeton University, Princeton, NJ,
in 1977, 1977, and 1979, respectively.
Since 1979, he has been with the University of
Illinois at Urbana-Champaign, where he is currently a Professor
with the Department of Electrical and Computer Engineering, a
Research Professor with the Coordinated Science Laboratory, and a
Research Professor with the Beckman Institute for Advanced Science
and Technology. His research interests are in the general area of
signal and image processing with current work focused on radar
imaging, tomography, interferometry, interpolation, time-frequency
analysis, and digital filtering.
Dr. Munson is a Fellow of the IEEE and a member
of Eta Kappa Nu and Tau Beta Pi. In 1990, he received the
Outstanding Professor Award from the Alpha Chapter of Eta Kappa Nu.
In 1995, he received the Meritorious Service Award from the IEEE
Signal Processing Society and an Outstanding Alumnus Award from
the College of Engineering, University of Delaware. In 1998, he
received the Outstanding Teaching Award from the Department of
Electrical and Computer Engineering, University of Illinois. He
was named an IEEE Signal Processing Society Distinguished Lecturer
and he received an IEEE Third Millennium Medal in 2000.
John R. Treichler was born in
Velasco, TX, on September 22, 1947. He received the B.A. and M.S.
degrees in electrical engineering from Rice University, Houston,
TX, in 1970 and the Ph.D. degree from Stanford University in 1977.
From 1970 to 1974 he served as a line officer
aboard destroyers in the U.S. Navy. From 1977 to 1983 he was with
ARGOSystems, Inc. (now a subsidiary of Boeing). He served as a
lecturer at Stanford between 1975 and 1983, teaching digital and
adaptive signal processing, and spent the 1983-1984 academic year
as an Associate Professor with the School of Electrical
Engineering, Cornell University, Ithaca, NY. In 1984 he cofounded
Applied Signal Technology, Inc., Sunnyvale, CA, with three
collegues. He is currently the company's Chief Technology Officer
and also serves on the company's board of directors. The company
designs and builds advanced signal processing equipment that is
used by the United States government and its allies. His research
interests are in the area of digital and adaptive signal
processing, particularly as applied to solving problems in
communications systems.
Dr. Treichler was named a Fellow of the IEEE in
1991. In 1999 he received an IEEE Third Millenium Medal and was
recently presented with a Technical Achievement Award from the
IEEE Signal Processing Society for the year 2000.
Sally L. Wood received the B.S.E.E.
degree from Columbia University in 1969 and the M.S.E.E. Ph.D.
degrees from Stanford University in 1975 and 1978, respectively.
While engaged in her Ph.D. research she also completed a minor in
physiological psychology.
She joined the faculty of Santa Clara University
in 1985 and is currently a Professor and the Chair of the
Electrical Engineering Department. At Santa Clara University she
has developed and taught courses in signal and image processing at
both the undergraduate and graduate level. In addition, she has
developed and taught 4 freshman-level laboratory-based
introductory electrical engineering course and a sophomore-level
signal processing architecture course. Over the past 10 years she
has developed interactive tutorials with dynamic visual
presentation of basic concepts to supplement undergraduate
engineering courses. This work has been supported by both industry
donations and federal funding agencies. Prior to joining Santa
Clara University, she had 12 years of experience in industry
working on design and development of medical imaging and
visualization systems, optical character recognition systems, and
assistive devices for the disabled.
Prof. Wood received the Special Recognition
Award from Santa Clara University in 1994 and the Research Award
from the School of Engineering in 1995. Her current research
interests include multiple source image analysis and nonlinear
signal processing.
Mark A. Yoder was born in Ames,
Iowa on December 24th, 1956. He received the B.S. degree in 1980
and the Ph.D. degree in 1984, both in electrical engineering, from
Purdue University.
He is currently Associate Professor of
Electrical and Computer Engineering at Rose- Hulman Institute of
Technology in Terre Haute, Indiana. Since 1988 he has been
teaching engineering at Rose-Hulman. His research interests
include investigating ways to use technology to teach engineering
more effectively. He pioneered, at Rose, the use of Computer
Algebra Systems (such as Maple and Mathematics) in teaching
electrical engineering. He also helped introduce the teaching of
digital signal processing (DSP) early in the curriculum. He is the
co-author of the book DSP First: A Multimedia Approach with
Jim McClellan and Ron Schafer, published by Prentice-Hall in 1998.
Dr. Yoder has also coauthored the book Electrical Engineering
Applications with the TI-89, with David R. Voltmer, published
by Texas Instruments in 1999.
Dr. Yoder is serving as General Co-Chair of the
2000 IEEE Digital Signal Processing in Education Workshop. He is a
member of the IEEE Education Society Administrative Committee and
a member and vice-chair of the IEEE Signal Processing Society
Technical Committee on Education. He has served as an Executive
Board Director for the ERM division of ASEE and a program co-chair
for the 1996 Frontiers in Engineering conference. He is a two time
winner of the Helen Plants award for the best non-traditional
workshop at FIE.
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