SÁCH

SÁCH

1) Kalman Filtering and Neural Networks
2) Real time digital signal processing
3) Independent component analysis
4) Tracking and Kalman filtering made easy
5) Elements of Information theory
6) Fibre optic communication systems
7) Digital communication receivers
8) -----Broadband wireless Mobile------41
9) Advanced DSP and Noise reduction
10) DSP applications using C and the TMS320C6X DSK
11) Adaptive WCDMA
12) GSM, cdmaOne and 3G systems
13) GSM switching, services and protocols
14) Pricing communication networks
15) Signal analysis
16) Adaptive filtering and change detection
17) Recurrent neural networks for prediction
18) Digital image processing
19) IP for 3G
20) The UTMS network and radio access technology
21) Performance of computer communication systems
22) Implementing service quality in IP networks
23) WCDMA mobile communications systems
24) Implementing voice over IP
25) QoS
26) DSP laboratory experiments using C and TMS320C31 DSK
27) Signaling in telecommunication networks
28) The mobile radio propagation channel
29) Wireless networks
30) 3G systems and intelligent wireless networking
31) Image processing
32) Phase array antennas
33) Switching theory
34) Telecommunications optimization: Heuristic and Adaptive Techniques
35) GSM and UMTS
36) RF and Microwave communication circuits
37) DAV Principles and applications
38) The cellular connetion
39) Software defined radio
40) Fixed broadband wireless system design
41) Broadband wireless mobile
42) Multiple Access protocols for mobile communications
43) CDMA: Access and switching
44) Mobile telecommunications protocols for data networks
45) Networks and telecommunications
46) The application of programmable DSPs in Mobile communications
47) DSP: A Computer science perspective
48) Fundamentals of RF circuit design with low noise oscillators
49) Queueing networks and Markov chains
50) Handbook of wireless networks and mobile computing
51) GPS, Inertial navigation and integration
52) Next generation network services
53) The wireless data handbook
54) Adaptive wireless transceivers
55) Video Codec design
56) Compressed Video communications
57) Object oriented software technologies in Telecommunications: from theory to practice
58) Intelligent image processing
59) Total area networking
60) Introduction to IP and ATM: Design and performance
61) Self-similar network traffic and performance evaluation
62) Estimation with applications to tracking and navigation
63) Image databases
64) RFID Handbook
65) MC and Spread spectrum systems
66) Wireless local loops: theory and applications
67) Kalman filtering: theory and practice using MATLAB
68) VSAT networks
69) Grid Computing
70) Software Radio Architecture
71) Mobile Radio networks
72) Spheroidal wave functions in Electromagnetic Theory
73) Scheduling in real time systems
74) Wavelets in Electromagnetics and device modeling
75) Real time systems
76) Telecommunication circuits design
77) Fuzzy control systems: Design and analysis
78) Stable adaptive control and estimation for nonlinear systems
79) Distributed feedback Laser diodes and optical tunable filters
80) Fundamentals of photonics
81) Multisensor instrumentation 6ù design
82) Sensors in manufacturing
83) Optical Metrology
84) Temperature measurement
85) Digital logic testing and simulation
86) Principles of random signal analysis and low noise design
87) Microstrip filters for RF/Microwave Applications
88) Scattering of Electromagnetic waves
89) Reliability of computer systems and networks
90) Asynchronous circuit design
91) Building electro-optical systems
92) Electromagnetic propagation in Multi0Mode Random Media
93) Sensors in intelligent building
94) Device modeling for analog and RF CMOS circuit design
95) Pipelined processor farms
96) Data engineering
97) Intelligent Image Processing
98) Fondamentals of GPS receivers
99) Reliability, survivability & Quality of Large scale telecommunication systems
100) Synchronization of Digital telecommunication networks
101) Data acquisition & signal processing for smart sensors
102) Elements of photonics Vols 1 & 2
103) UMTS
104) Broadband packet switching technologies
105) Agent technology for Communication Infrastructures
106) Mobile satellite communication networks
107) Compact and broadband microstrip antennas
108) Three-dimensional holographic imaging
109) RF and Microwave wireless systems
110) Analysis and design of integrated Circuit-Antenna Modules
111) Fundamentals of digital television transmission
112) Dictionary of e Business
113) eBusiness essentials
114) Optical filter design and analysis
115) Content distribution networks
--------------------------------------
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9) Advanced DSP and Noise reduction
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Được WeAreTheWorld sửa chữa / chuyển vào 09:57 ngày 17/12/2007
Được WeAreTheWorld sửa chữa / chuyển vào 09:58 ngày 17/12/2007

10) DSP applications using C and the TMS320C6X DSK
http://www.mediafire.com/?cpy5vcndm3h
Preface
Digital signal processors, such as the TMS320 family of processors, are used in a
wide range of applications, such as in communications, controls, speech processing,
and so on. They are used in fax transmission, modems, cellular phones, and other
devices. These devices have also found their way into the university classroom,
where they provide an economical way to introduce real-time digital signal processing
(DSP) to the student.
Texas Instruments recently introduced the TM320C6x processor, based on the
very-long-instruction-word (VLIW) architecture. This newer architecture supports
features that facilitate the development of efficient high-level language compilers.
Throughout the book we refer to the C/C++ language simply as C. Although
TMS320C6x/assembly language can produce fast code, problems with documentation
and maintenance may exist. With the available C compiler, the programmer
must consider to ?olet the tools do the work.? After that, if the programmer is
not satisfied, Chapters 3 and 8 and the last few examples in Chapter 4 can be very
useful.
This book is intended primarily for senior undergraduate and first-year graduate
students in electrical and computer engineering and as a tutorial for the practicing
engineer. It is written with the conviction that the principles of DSP can best be
learned through interaction in a laboratory setting, where students can appreciate
the concepts of DSP through real-time implementation of experiments and projects.
The background assumed is a course in linear systems and some knowledge of C.
Most chapters begin with a theoretical discussion, followed by representative
examples that provide the necessary background to perform the concluding experiments.
There are a total of 76 solved programming examples, most using C code,
with a few in assembly and linear assembly code.A list of these examples appears
on page xv. Several sample projects are also discussed.
xi
Programming examples are included throughout the text. This can be useful to
the reader who is familiar with both DSP and C programming but who is not
necessarily an expert in both.
This book can be used in the following ways:
1. For a DSP course with a laboratory component, using Chapters 1 to 7 and
Appendices D to F. If needed, the book can be supplemented with some ad***ional
theoretical materials, since the book?Ts emphasis is on the practical
aspects of DSP. It is possible to cover Chapter 7 on adaptive filtering, following
Chapter 4 on FIR filtering (since there is only one example in Chapter 7
that uses material from Chapter 5). It is my conviction that adaptive filtering
(Chapter 7) should be incorporated into an undergraduate course in DSP.
2. For a laboratory course using many of the examples and experiments from
Chapters 1 to 7. The beginning of the semester can be devoted to short programming
examples and experiments and the remainder of the semester used
for a final project.
3. For a senior undergraduate or first-year graduate design project course, using
Chapters 1 to 5, selected materials from Chapters 6 to 9, and Appendices D
to F.
4. For the practicing engineer as a tutorial, and for workshops and seminars,
using selected materials throughout the book.
In Chapter 1 we introduce the tools through three programming examples.
These tools include the powerful Code Composer Studio (CCS) provided with
the TMS320C6711 DSP starter kit (DSK). It is essential to perform these three
examples before proceeding *****bsequent chapters.They illustrate the capabilities
of CCS for debugging, plotting in both the time and frequency domains, and other
matters.
In Chapter 2 we illustrate input and output (I/O) with the codec on the DSK
board through many programming examples. Alternative I/O with a stereo audio
codec that interfaces with the DSK is described. Chapter 3 covers the architecture
and the instructions available for the TMS320C6x processor. Special instructions
and assembler directives that are useful in DSP are discussed. Programming examples
using both assembly and linear assembly are included in this chapter.
In Chapter 4 we introduce the z-transform and discuss finite impulse response
(FIR) filters and the effect of window functions on these filters. Chapter 5 covers
infinite impulse response (IIR) filters. Programming examples to implement realtime
FIR and IIR filters are included.
Chapter 6 covers the development of the fast Fourier transform (FFT). Programming
examples on FFT are included. In Chapter 7 we demonstrate the usefulness
of the adaptive filter for a number of applications with least mean squares
(LMS). Programming examples are included to illustrate the gradual cancellation
of noise or system identification. Chapter 8 illustrates techniques for code optixii
Preface
mization. In Chapter 9 we discuss a number of DSP applications and student
projects.
A disk included with this book contains all the programs discussed. See page xix
for a list of the folders that contain the support files for all the examples.
Over the last six years, faculty members from over 150 institutions have taken
my ?oDSP and Applications? workshops.These workshops were supported for three
years by grants from the National Science Foundation (NSF) and subsequently, by
Texas Instruments. I am thankful to NSF, Texas Instruments, and the participating
faculty members for their encouragement and feedback. I am grateful to Dr. Donald
Reay of Heriot-Watt University, who contributed several examples during his
review of the book. I appreciate the many suggestions made by Dr. Robert Kubichek
of the University of Wyoming during his review of the book. I also thank Dr. Darrell
Horning of the University of New Haven, with whom I coauthored the text Digital
Signal Processing with the TMS320C25, for introducing me to ?obook writing.? I
thank all the students (at Roger Williams University, University of Massachusetts,
Dartmouth, and Worcester Polytechnic Institute) who have taken my real-time DSP
and senior design project courses, based on the TMS320 processors, over the last
16 years. I am particularly indebted to two former students, Bill Bitler and Peter
Martin, who have worked with me over the years. The laboratory assistance of
Walter J. Gomes III in several workshops and during the development of many
examples has been invaluable. The continued support of many people from Texas
Instruments is also very much appreciated: Maria Ho and Christina Peterson, in
particular, have been very supportive of this book. I would be remiss if I did not
mention the librarians in Herkimer, New York (where I was stranded for two weeks)
for the use of their facility to write Chapter 8.
Rulph Chassaing
Chassaing@msn.com
Được WeAreTheWorld sửa chữa / chuyển vào 09:58 ngày 17/12/2007

1) Kalman Filtering and Neural Networks
E***ed by
Simon Haykin
Communications Research Laboratory,
McMaster University, Hamilton, Ontario, Canada
PREFACE
This self-contained book, consisting of seven chapters, is devoted to
Kalman filter theory applied to the training and use of neural networks,
and some applications of learning algorithms derived in this way.
It is organized as follows:

Chapter 1 presents an introductory treatment of Kalman filters, with
emphasis on basic Kalman filter theory, the Rauch?"Tung?"Striebel
smoother, and the extended Kalman filter.

Chapter 2 presents the theoretical basis of a powerful learning
algorithm for the training of feedforward and recurrent multilayered
perceptrons, based on the decoupled extended Kalman filter (DEKF);
the theory presented here also includes a novel technique called
multistreaming.

Chapters 3 and 4 present applications of the DEKF learning algorithm
to the study of image sequences and the dynamic reconstruction
of chaotic processes, respectively.

Chapter 5 studies the dual estimation problem, which refers to the
problem of simultaneously estimating the state of a nonlinear
dynamical system and the model that gives rise to the underlying
dynamics of the system.

Chapter 6 studies how to learn stochastic nonlinear dynamics. This
difficult learning task is solved in an elegant manner by combining
two algorithms:
1. The expectation-maximization (EM) algorithm, which provides
an iterative procedure for maximum-likelihood estimation with
missing hidden variables.
2. The extended Kalman smoothing (EKS) algorithm for a refined
estimation of the state.

Chapter 7 studies yet another novel idea ?" the unscented Kalman
filter ?" the performance of which is superior to that of the extended
Kalman filter.
Except for Chapter 1, all the other chapters present illustrative applications
of the learning algorithms described here, some of which involve the
use of simulated as well as real-life data.
Much of the material presented here has not appeared in book form
before. This volume should be of serious interest to researchers in neural
networks and nonlinear dynamical systems.
SIMON HAYKIN
Communications Research Laboratory,
McMaster University, Hamilton, Ontario, Canada
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Được WeAreTheWorld sửa chữa / chuyển vào 10:43 ngày 17/12/2007

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63. Image Database
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PREFACE
Image databases pose new and challenging problems to the research community.
Over the past 40 years, database technology has matured with the development
of relational databases, object-relational databases, and object-oriented databases.
Extensions to these databases have been developed to handle nontra***ional data
types, such as images, video, audio, and maps. The core functionalities of classical
databases, however, are tailored toward simple data types and do not extend
gracefully to nonstructured information.
As the amount of digital imagery grows, techniques that are specifically
tailored *****ch data types need to be developed and more widely deployed.
Over the last few years, standardization efforts have taken place in fields such as
medicine, geographic information systems, and video in parallel with the development
of large digital archives. Search and indexing technology has developed
over the same time frame, leading to a wide variety of research prototypes and
ad-hoc commercial solutions for searching imagery, video, and other multimedia
types. There still is a lack, however, of large commercial systems that integrate
existing techniques for storage, indexing, and retrieval of image databases.
In this volume, we present the state of the art of a number of disciplines that
converge in image database technology. We motivate the volume by presenting
selected applications, including photographic, remotely sensed, petroleum, and
medical imagery.
The technology section is divided into two main areas: a portion on storage
and one on retrieval. We start with a chapter on system architecture, detailing
hierarchical storage management schemes, the role of caching, storage layout
issues, and architectural trade-offs. This is followed by a chapter on applications
of tra***ional databases to indexing image repositories, with emphasis on data
modeling and organization. Image compression is an integral part of image
storage management, and we devote a chapter to the topic, describing the
fundamental concepts, reviewing and comparing the main existing standards,
outlining nonstandard compression techniques, and discussing evaluation and
trade-offs in selecting appropriate methods. Since delivery of imagery over
limited bandwidth channels is a universal problem, we include a chapter
describing the transmission of imagery in digital format, including techniques
such as progressive transmission.
The second half of the technology section describes search and retrieval techniques.
We begin with an overview of the area. Low-level image features, such
as color, texture, and shape, are typically used to index image archives, and we
devote a chapter to each of these. This is followed by a chapter on indexing techniques
for spatial queries, range queries, similarity, and nearest-neighbor queries.
The next chapter discusses the use of multiple abstraction levels and compressed
or transformed images for improving search efficiency. The last chapter addresses
the automatic extraction of semantic information from imagery.
This book is intended for several audiences. It can be used as a textbook for
a graduate-level course on image databases, as it provides a wide range of introductory
material and extensive bibliographies that are appropriate for directing
further reading. It is also a valuable reference for developers and researchers in
the field, as well as an introduction for IT professionals who need to further their
understanding of the discipline.

58. INTELLIGENT IMAGE PROCESSING
to address all aspects of personal imaging, the book places a particular emphasis
on the fundamentals.
New concepts of image content are essential to multimedia communications.
Human beings obtain their main sensory information from their visual system.
Accordingly, visual communication is essential for creating an intimate connection
between the human and the machine. Visual information processing also
provides the greatest technical challenges because of the bandwidth and complexity
that is involved.
A computationally mediated visual reality is a natural extension of the nextgeneration
computing machines. Already we have witnessed a pivotal shift from
mainframe computers to personal/personalizable computers owned and operated
by individual end users. We have also witnessed a fundamental change in the
nature of computing from large mathematical ?obatch job? calculations to the
use of computers as a communications medium. The explosive growth of the
Internet (which is primarily a communications medium as opposed to a calculations
medium), and more recently the World Wide Web, is a harbinger of what
will evolve into a completely computer-mediated world. Likely in the immediate
future we will see all aspects of life handled online and connected.
This will not be done by implanting devices into the brain?"at least not in
this coursê?"but rather by noninvasively ?otapping? the highest bandwidth ?opipê?
into the brain, namely the eye. This ?oeye tap? forms the basis for devices that are
being currently built into eyeglasses (prototypes are also being built into contact
lenses) to tap into the mind?Ts eye.
The way EyeTap technology will be used is to cause inanimate objects to
suddenly come to life as nodes on a virtual computer network. For example, as
one walks past an old building, the building will come to life with hyperlinks on
its surface, even though the building itself is not wired for network connections.
The hyperlinks are created as a shared imagined reality that wearers of the EyeTap
technology simultaneously experience. When one enters a grocery store with eyes
tapped, a milk carton may convey a unique message from a spouse, reminding
the wearer of the EyeTap technology to pick up some milk on the way home
from work.
EyeTap technology is not merely about a computer screen inside eyeglasses.
Rather, it is about enabling a shared visual experience that connects multiple
perceptions of individuals into a collective consciousness.
EyeTap technology could have many commercial applications. It could emerge
as an industrially critical form of communications technology. The WearTel>>
phone, for example, uses EyeTap technology to allow individuals to see each
other?Ts point of view. Tra***ional videoconferencing that merely provides a picture
of the other person has consistently been a marketplace failure everywhere it has
been introduced. There is little cogent and compelling need for seeing a picture
of the person one is talking to, especially since most of the time the caller already
knows what the other person looks like, not to mention the fact that many people
do not want to have to get dressed when they get up in the morning to answer
the phone, and so on.
However, the WearTel phone provides a view of what the other person is
looking at, rather than merely a view of the other person. This one level of
indirection turns out to have a very existential property, namely that of facilitating
a virtual being with the other person rather than just seeing the other person.
It may turn out to be far more useful for us to exchange points of view with
others in this manner. Exchange of viewpoints is made possible with EyeTap
technology by way of the miniature laser light source inside the WearTel eyeglassbased
phone. The light scans across the retinas of both parties and swaps the
image information so that each person sees what the other person is looking at.
The WearTel phone, in effect, let?Ts someone ?obe you? rather than just ?osee you.?
By letting others put themselves in your shoes and see the world from your point
of view, a very powerful communications medium could result.
This book shows how the eye is tapped by a handheld device like WearTel or
by EyeTap eyeglasses or contact lenses, allowing us to create personal documentaries
of our lives, shot from a first-person perspective. Turning the eye itself into
a camera will radically change the way pictures are taken, memories are kept, and
events are documented. (The reader anxious to get a glimpse of this should check
the Electronic News Gathering wear project at http://engwear.org, and some of
the related sites such as http://eyetap.org or run a search engine on ?oeyetap.?)
Apparatuses like this invention will further help the visually challenged see better
and perhaps help those with a visual memory disorder remember things better. It
is conceivable that with the large aging population of the near future, attention
to this invention will be on the rise.
The book is organized as follows:
1. Humanistic intelligence: The first chapter introduces the general ideas
behind wearable computing, personal technologies, and the like. It gives
a historical overview ranging from the original photographic motivations
of personal cybernetics in the 1970s, to the fabric-based computers of the
1980s, and to the modern EyeTap systems. This chapter traces personal
cybernetics from its obscure beginnings as a cumbersome wearable lighting
and photographic control system to its more refined embodiments. The
motivating factor in humanistic intelligence is that we realize the close
synergy between the intelligence that arises from the human being in the
feedback loop of a truly personal computational process.
2. Personal imaging: This chapter ponders the fundamental question as to
where on the body the imaging system should be situated. In terms of image
acquisition and display various systems have been tried. Among these is
the author?Ts wearable radar vision system for the visually challenged which
is introduced, described, and compared with other systems.
3. The EyeTap principle: This chapter provides the fundamental basis for
noninvasively tapping into the mind?Ts eye. The EyeTap principle pertains
to replacing, in whole or in part, each ray of light that would otherwise
pass through the lens of at least one eye of the wearer, with a synthetic
ray of light responsive to the output of a processor. Some of the fundamental
concepts covered in this chapter are the EyeTap principle; analysis
glass, synthesis glass, and the collinearity criterion; effective location of
the camera in at least one eye of the wearer; practical embodiments of
the EyeTap principle; the laser EyeTap camera; tapping the mind?Ts eye
with a computer-controlled laser (replacing each ray of light that would
otherwise enter the eye with laser light); the author?Ts fully functional laser
EyeTap eyeglasses; infinite depth of focus EyeTap products and devices;
and practical solutions for the visually challenged.
4. Photoquantigraphic imaging: This chapter addresses the basic question
of how much light is desirable. In particular, when replacing each ray of
light with synthetic light, one must know how much synthetic light to use.
The analysis portion of the apparatus is described. Since it is based on a
camera or camera-like device, a procedure for determining the quantity of
light entering the camera is formulated.
5. Antihomomorphic vector spaces and image processing in lightspace:
This chapter introduces a multidimensional variant of photoquantigraphic
imaging in which the response of the image to light is determined. The
discussion of lightspace includes the application of personal imaging to the
creation of pictures done in a genre of ?opainting with lightvectors.? This
application takes us back to the very first application of wearable computers
and mediated reality, namely that of collaborative production of visual art
in a mediated reality space.
6. VideoOrbits: The final chapter covers camera-based head-tracking in
the context of algebraic projective geometry. This chapter sets forth the
theoretical framework for personal imaging.
STEVE MANN
University of Toronto
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Được WeAreTheWorld sửa chữa / chuyển vào 15:34 ngày 17/12/2007

26. Digital Signal Processing
Laboratory Experiments Using C and the TMS320C31 DSK
http://www.mediafire.com/?6y9d0ytgnm1
Preface
Digital signal processors, such as the TMS320 family of processors, are found in a
wide range of applications such as in communications and controls, speech processing,
and so on. They are used in Fax, modems, cellular phones, etc. These devices
have also found their way into the university classroom, where they provide an economical
way to introduce real-time digital signal processing (DSP) to the student.
With the introduction of Texas Instruments?T third-generation TMS320C3x processor,
floating-point instructions and a new architecture that supports features
which facilitate the development of high-level language compilers appeared. The C
optimizing compiler takes advantage of the special features of the TMS320C3x
processor such as parallel instructions and delayed branches. Throughout the book,
we refer to the C/C++ language as simply C. Generally, the price paid for going to a
high-level language is a reduction in speed and a similar increase in the size of the
executable file. Although TMS320C3x/assembly language produces fast code,
problems with documentation and maintenance may exist. A compromise solution
is to write time-critical routines in TMS320C3x code that can be called from C.
This book is intended primarily for senior undergraduate and first-year graduate
students in electrical and computer engineering and as a tutorial for the practicing
engineer. It is written with the conviction that the principles of DSP can best be
learned through interaction in a laboratory setting, where the student can appreciate
the concepts of DSP through real-time implementation of experiments and projects.
The background assumed is a system course and some knowledge of assembly language
or a high-level language such as C.
Most chapters begin with a theoretical discussion, followed by representative examples
that provide the necessary background to perform the concluding experiments.
There are a total of 60 solved programming examples using both
TMS320C3x and C code. Several sample projects are also discussed.
Programming examples using both TMS320C3x and C code are included
throughout the text. This can be useful to the reader who is familiar with both DSP
and C programming, but who is not necessarily an expert in both. Although the
reader who elects to study the programming examples in either TMS320C3x or C
code will benefit from this book, the ideal reader is one with an appreciation for
both TMS320C3x and C code.
This book can be used in the following ways:
1. For a laboratory course using many of the Examples and Experiments from
Chapters 1-7. The beginning of the semester can be devoted to short programming
examples and experiments and the remainder of the semester used for a
final project.
2. For a senior undergraduate or first-year graduate design project course, using
Chapters 1-5, selected materials from Chapters 6-8, and Appendices C and D.
3. For the practicing engineer as a tutorial and for workshops and seminars.
Chapter 1 introduces the tools through three examples. These tools include an assembler
and a debugger that are provided with the DSP Starter Kit (DSK). Program
examples in C can be tested without a C compiler since all associated executables
files are on the accompanying disk. Chapter 2 covers the architecture and the instructions
available for the TMS320C3x processor. Special instructions and assembler
directives that are useful in DSP are discussed. Chapter 3 illustrates input and
output (I/O) with the two-input analog interface chip (AIC) on the DSK board
through several programming examples. An alternative I/O with a 16-bit stereo audio
codec that can be interfaced with the DSK is described.
Chapter 4 introduces the z-transform and discusses finite impulse response
(FIR) filters and the effect of window functions on these filters. Chapter 5 covers
infinite impulse response (IIR) filters. Programming examples to implement FIR
and IIR filters, in both TMS320C3x and C code, are included.
Chapter 6 covers the development of the fast Fourier transform (FFT). Programming
examples on FFT are included. Chapter 7 demonstrates the usefulness of the
adaptive filter for a number of applications with the least mean square (LMS).
Chapter 8 discusses a number of DSP applications.
A disk included with this book contains all the programs discussed in the text.
See page xv for a list of the programs/files included on the disk.
During the summers of 1996-1998, a total of 115 faculty members from over 100
Institutions took my DSP and Applications workshops supported by grants from the
National Science Foundation (NSF). I am thankful to them for their encouragement,
participation and feedback on this book. In particular, Dr. Hisham Alnajjar from the
University of Hartford, Dr. Armando Barreto from Florida International University,
Dr. Paul Giolma from Trinity University, Dr. William Monaghan from the College
of Staten Island?"CUNY, and Dr. Mark Wickert from the University of Colorado at
Colorado Springs. I also thank Dr. Darrell Horning from the University of New
Haven, with whom I coauthored the text Digital Signal Processing with the
TMS320C25, for introducing me to book-writing. I thank all the students who have
taken my DSP and Senior Design Project courses. I am particularly indebted to two
former students, Bill Bitler and Peter Martin, who have worked with me for many
years and have contributed to this book as well as to my previous book Digital Signal
Processing with C and the TMS320C30.
The support of the National Science Foundation?Ts Undergraduate Faculty Enhancement
(UFE) Program in the Division of Undergraduate Education, Texas Instruments,
and the Roger Williams University Research Foundation is appreciated.
RULPH CHASSAING
Được WeAreTheWorld sửa chữa / chuyển vào 15:47 ngày 17/12/2007

31. IMAGE PROCESSING
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Preface
This book is the result of 11 years of teaching the subject to the students of Surrey
University studying for an MSc degree in Signal Processing and Machine Intelligence.
As the subject of Machine Intelligence has mushroomed in recent years, so it has
attracted the interest of researchers from as diverse fields as Psychology, Physiology,
Engineering and Mathematics. The problems of Machine Intelligence may be tackled
with various tools. However, when we have to perform a task using a computer, we
must have in mind the language a computer understands, and this language is the
language of arithmetic and by extension mathematics. So, the approach to solving
the problems of Machine Intelligence is largely mathematical. Image Processing is the
basic underlying infrastructure of all Vision and Image related Machine Intelligence
topics. Trying to perform Computer Vision and ignoring Image Processing is like
trying to build a house starting from the roof, and trying to do Image Processing
without mathematics is like trying to fly by flapping the arms!
The diversity of people who wish to work and contribute in the general area of
Machine Intelligence led me towards writing this book on two levels. One level should
be easy to follow with a limited amount of mathematics. This is appropriate for newcomers
to thef ield and undergraduate students. Thes econd level, more sophisticated,
going through the mathematical intricacies of the various methods and proofs, is appropriate
for the inquisitive student who wishes to know the â?owhyâ? and the â?ohowâ?
and get at the bottom of things in an uncompromising way. At the lower level, the
book can be followed with no reference made at all to the higher level. All material
referring to the higher level is presented inside grey boxes, and may be skipped.
The book contains numerous examples presented inside frames. Examples that refer
to boxed material are clearly marked with a B and they may be ignored alongside
the advanced material if so desired. The basic mathematical background required
by the reader is the knowledge of how to add and subtract matrices. Knowledge of
eigenvalue analysis of matrices is also important. However, there are several fully
worked examples, so that even if somebody is hardly familiar with the subject, they
can easily learn the nuts and boltso f it by working through this book. This approach
is also carried to the stochastic methods presented: one can start learning from the
basic concept of a random variable and reach the level of understanding and using
the concept of ergodicity.
I would like to take this opportunity to thank the numerous MSc students who
over the years helped shape this book, sometimes with their penetrating questions,
and sometimes with their seemingly naive(!) questions. However, there are no naive
questions when one is learning: the naivety is with those who do not ask the questions!
My studentsâ?T questions helped formulate the route to learning and gave me the idea
to present the material in the form of questions and answers.
Writing this book was a learning process for Panagiota and me too. We had
a lot of fun working through the example images and discovering the secrets of the
methods. One thing that strucuks as most significant was the divergence betweent he
continuous and the discrete methods. An analytically derived formula appropriate for
the continuous domain often has very little to do with the formula one has to program
into the computer in order to perform the task. This is very clearly exemplified in
Chapter 6 concerned with image restoration. That is the reason we demonstrate all
the methods we present using small, manageable discrete images, that allow us to
manipulate them â?omanuallyâ? and learn what exactly the computer has to do if a real
size image is to be used. When talking about real size images, we would like to thank
Constantinos Boukouvalasw ho helped with the programming of some of the methods
presented.
Finally, I would also like to thank my colleagues in the Centre for Vision, Speech
and Signal Processing of Surrey University, and in particular the directoJro sef Kittler
for all the opportunities and support he gave me, and our systems manager Graeme
Wilford for being always helpful and obliging.
Maria Petrou