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Elements of Information Theory (2nd Edition)
Elements of Information Theory (2nd Edition) |  | 收藏 | | | 作者 | THOMAS M. COVER, JOY A. THOMAS | | ＩＳＢＮ | 0-471-24195-4 | | 出版日期/版本 | 2006, 2nd Edition | | 格式 | ＰＤＦ Adobe Acrobat |
主题内容 | | In the years since the publication of the first edition, there were many
aspects of the book that we wished to improve, to rearrange, or to expand,
but the constraints of reprinting would not allow us to make those changes
between printings. In the new edition, we now get a chance to make some
of these changes, to add problems, and to discuss some topics that we had
omitted from the first edition.
The key changes include a reorganization of the chapters to make
the book easier to teach, and the addition of more than two hundred
new problems. We have added material on universal portfolios, universal
source coding, Gaussian feedback capacity, network information theory,
and developed the duality of data compression and channel capacity. A
new chapter has been added and many proofs have been simplified. We
have also updated the references and historical notes.
The material in this book can be taught in a two-quarter sequence. The
first quarter might cover Chapters 1 to 9, which includes the asymptotic
equipartition property, data compression, and channel capacity, culminating
in the capacity of the Gaussian channel. The second quarter could
cover the remaining chapters, including rate distortion, the method of
types, Kolmogorov complexity, network information theory, universal
source coding, and portfolio theory. If only one semester is available, we
would add rate distortion and a single lecture each on Kolmogorov complexity
and network information theory to the first semester. A web site,
http://www.elementsofinformationtheory.com, provides links to additional
material and solutions to selected problems.
In the years since the first edition of the book, information theory
celebrated its 50th birthday (the 50th anniversary of Shannon’s original
paper that started the field), and ideas from information theory have been
applied to many problems of science and technology, including bioinformatics,
web search, wireless communication, video compression, and others.
The list of applications is endless, but it is the elegance of the
fundamental mathematics that is still the key attraction of this area. We
hope that this book will give some insight into why we believe that this
is one of the most interesting areas at the intersection of mathematics,
physics, statistics, and engineering. |
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