An Introduction to Information Theory: Symbols, Signals and Noise [NOOK Book]

Overview


Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permeated the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.
To give a solid introduction to this burgeoning field, J. R. Pierce has revised his ...

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An Introduction to Information Theory: Symbols, Signals and Noise

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Overview


Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permeated the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.
To give a solid introduction to this burgeoning field, J. R. Pierce has revised his well-received 1961 study of information theory for an up-to-date second edition. Beginning with the origins of the field, Dr. Pierce follows the brilliant formulations of Claude Shannon and describes such aspects of the subject as encoding and binary digits, entropy. language and meaning, efficient encoding , and the noisy channel. He then goes beyond the strict confines of the topic to explore the ways in which information theory relates to physics, cybernetics, psychology, and art. Mathematical formulas are introduced at the appropriate points for the benefit of serious students. A glossary of terms and an appendix on mathematical notation are provided to help the less mathematically sophisticated.
J. R. Pierce worked for many years at the Bell Telephone Laboratories, where he became Director of Research in Communications Principles. He is currently affiliated with the engineering department of the California Institute of Technology. While his background is impeccable, Dr. Pierce also possesses an engaging writing style that makes his book all the more welcome. An Introduction to Information Theory continues to be the most impressive non-technical account available and a fascinating introduction to the subject for laymen.
"An uncommonly good study. . . . Pierce's volume presents the most satisfying discussion to be found."― Scientific American.

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Product Details

  • ISBN-13: 9780486134970
  • Publisher: Dover Publications
  • Publication date: 3/29/2012
  • Series: Dover Books on Mathematics
  • Sold by: Barnes & Noble
  • Format: eBook
  • Pages: 336
  • Sales rank: 709,094
  • File size: 7 MB

Read an Excerpt

An Introduction to Information Theory

Symbols, Signals & Noise


By John R. Pierce

Dover Publications, Inc.

Copyright © 1980 John R. Pierce
All rights reserved.
ISBN: 978-0-486-13497-0



CHAPTER 1

The World and Theories


IN 1948, CLAUDE E. SHANNON published a paper called "A Mathematical Theory of Communication"; it appeared in book form in 1949. Before that time, a few isolated workers had from time to time taken steps toward a general theory of communication. Now, thirty years later, communication theory, or information theory as it is sometimes called, is an accepted field of research. Many books on communication theory have been published, and many international symposia and conferences have been held. The Institute of Electrical and Electronic Engineers has a professional group on information theory, whose Transactions appear six times a year. Many other journals publish papers on information theory.

All of us use the words communication and information, and we are unlikely to underestimate their importance. A modern philosopher, A. J. Ayer, has commented on the wide meaning and importance of communication in our lives. We communicate, he observes, not only information, but also knowledge, error, opinions, ideas, experiences, wishes, orders, emotions, feelings, moods. Heat and motion can be communicated. So can strength and weakness and disease. He cites other examples and comments on the manifold manifestations and puzzling features of communication in man's world.

Surely, communication being so various and so important, a theory of communication, a theory of generally accepted soundness and usefulness, must be of incomparable importance to all of us. When we add to theory the word mathematical, with all its implications of rigor and magic, the attraction becomes almost irresistible. Perhaps if we learn a few formulae our problems of communication will be solved, and we shall become the masters of information rather than the slaves of misinformation.

Unhappily, this is not the course of science. Some 2,300 years ago, another philosopher, Aristotle, discussed in his Physics a notion as universal as that of communication, that is, motion.

Aristotle defined motion as the fulfillment, insofar as it exists potentially, of that which exists potentially. He included in the concept of motion the increase and decrease of that which can be increased or decreased, coming to and passing away, and also being built. He spoke of three categories of motion, with respect to magnitude, affection, and place. He found, indeed, as he said, as many types of motion as there are meanings of the word is.

Here we see motion in all its manifest complexity. The complexity is perhaps a little bewildering to us, for the associations of words differ in different languages, and we would not necessarily associate motion with all the changes of which Aristotle speaks.

How puzzling this universal matter of motion must have been to the followers of Aristotle. It remained puzzling for over two millennia, until Newton enunciated the laws which engineers still use in designing machines and astronomers in studying the motions of stars, planets, and satellites. While later physicists have found that Newton's laws are only the special forms which more general laws assume when velocities are small compared with that of light and when the scale of the phenomena is large compared with the atom, they are a living part of our physics rather than a historical monument. Surely, when motion is so important a part of our world, we should study Newton's laws of motion. They say:

1. A body continues at rest or in motion with a constant velocity in a straight line unless acted upon by a force.

2. The change in velocity of a body is in the direction of the force acting on it, and the magnitude of the change is proportional to the force acting on the body times the time during which the force acts, and is inversely proportional to the mass of the body.

3. Whenever a first body exerts a force on a second body, the second body exerts an equal and oppositely directed force on the first body.


To these laws Newton added the universal law of gravitation:

4. Two particles of matter attract one another with a force acting along the line connecting them, a force which is proportional to the product of the masses of the particles and inversely proportional to the square of the distance separating them.


Newton's laws brought about a scientific and a philosophical revolution. Using them, Laplace reduced the solar system to an explicable machine. They have formed the basis of aviation and rocketry, as well as of astronomy. Yet, they do little to answer many of the questions about motion which Aristotle considered. Newton's laws solved the problem of motion as Newton defined it, not of motion in all the senses in which the word could be used in the Greek of the fourth century before our Lord or in the English of the twentieth century after.

Our speech is adapted to our daily needs or, perhaps, to the needs of our ancestors. We cannot have a separate word for every distinct object and for every distinct event; if we did we should be forever coining words, and communication would be impossible. In order to have language at all, many things or many events must be referred to by one word. It is natural to say that both men and horses run (though we may prefer to say that horses gallop) and convenient to say that a motor runs and to speak of a run in a stocking or a run on a bank.

The unity among these concepts lies far more in our human language than in any physical similarity with which we can expect science to deal easily and exactly. It would be foolish to seek some elegant, simple, and useful scientific theory of running which would embrace runs of salmon and runs in hose. It would be equally foolish to try to embrace in one theory all the motions discussed by Aristotle or all the sorts of communication and information which later philosophers have discovered.

In our everyday language, we use words in a way which is convenient in our everyday business. Except in the study of language itself, science does not seek understanding by studying words and their relations. Rather, science looks for things in nature, including our human nature and activities, which can be grouped together and understood. Such understanding is an ability to see what complicated or diverse events really do have in common (the planets in the heavens and the motions of a whirling skater on ice, for instance) and to describe the behavior accurately and simply.

The words used in such scientific descriptions are often drawn from our everyday vocabulary. Newton used force, mass, velocity, and attraction. When used in science, however, a particular meaning is given to such words, a meaning narrow and often new. We cannot discuss in Newton's terms force of circumstance, mass media, or the attraction of Brigitte Bardot. Neither should we expect that communication theory will have something sensible to say about every question we can phrase using the words communication or information.

A valid scientific theory seldom if ever offers the solution to the pressing problems which we repeatedly state. It seldom supplies a sensible answer to our multitudinous questions. Rather than rationalizing our ideas, it discards them entirely, or, rather, it leaves them as they were. It tells us in a fresh and new way what aspects of our experience can profitably be related and simply understood. In this book, it will be our endeavor to seek out the ideas concerning communication which can be so related and understood.

When the portions of our experience which can be related have been singled out, and when they have been related and understood, we have a theory concerning these matters. Newton's laws of motion form an important part of theoretical physics, a field called mechanics. The laws themselves are not the whole of the theory; they are merely the basis of it, as the axioms or postulates of geometry are the basis of geometry. The theory embraces both the assumptions themselves and the mathematical working out of the logical consequences which must necessarily follow from the assumptions. Of course, these consequences must be in accord with the complex phenomena of the world about us if the theory is to be a valid theory, and an invalid theory is useless.

The ideas and assumptions of a theory determine the generality of the theory, that is, to how wide a range of phenomena the theory applies. Thus, Newton's laws of motion and of gravitation are very general; they explain the motion of the planets, the timekeeping properties of a pendulum, and the behavior of all sorts of machines and mechanisms. They do not, however, explain radio waves.

Maxwell's equations explain all (non-quantum) electrical phenomena; they are very general. A branch of electrical theory called network theory deals with the electrical properties of electrical circuits, or networks, made by interconnecting three sorts of idealized electrical structures: resistors. (devices such as coils of thin, poorly conducting wire or films of metal or carbon, which impede the flow of current), inductors (coils of copper wire, sometimes wound on magnetic cores), and capacitors (thin sheets of metal separated by an insulator or dielectric such as mica or plastic; the Leyden jar was an early form of capacitor). Because network theory deals only with the electrical behavior of certain specialized and idealized physical structures, while Maxwell's equations describe the electrical behavior of any physical structure, a physicist would say that network theory is less general than are Maxwell's equations, for Maxwell's equations cover the behavior not only of idealized electrical networks but of all physical structures and include the behavior of radio waves, which lies outside of the scope of network theory.

Certainly, the most general theory, which explains the greatest range of phenomena, is the most powerful and the best; it can always be specialized to deal with simple cases. That is why physicists have sought a unified field theory to embrace mechanical laws and gravitation and all electrical phenomena. It might, indeed, seem that all theories could be ranked in order of generality, and, if this is possible, we should certainly like to know the place of communication theory in such a hierarchy.

Unfortunately, life isn't as simple as this. In one sense, network theory is less general than Maxwell's equations. In another sense, however, it is more general, for all the mathematical results of network theory hold for vibrating mechanical systems made up of idealized mechanical components as well as for the behavior of interconnections of idealized electrical components. In mechanical applications, a spring corresponds to a capacitor, a mass to an inductor, and a dashpot or damper, such as that used in a door closer to keep the door from slamming, corresponds to a resistor. In fact, network theory might have been developed to explain the behavior of mechanical systems, and it is so used in the field of acoustics. The fact that network theory evolved from the study of idealized electrical systems rather than from the study of idealized mechanical systems is a matter of history, not of necessity.

Because all of the mathematical results of network theory apply to certain specialized and idealized mechanical systems, as well as to certain specialized and idealized electrical systems, we can say that in a sense network theory is more general than Maxwell's equations, which do not apply to mechanical systems at all. In another sense, of course, Maxwell's equations are more general than network theory, for Maxwell's equations apply to all electrical systems, not merely to a specialized and idealized class of electrical circuits.

To some degree we must simply admit that this is so, without being able to explain the fact fully. Yet, we can say this much. Some theories are very strongly physical theories. Newton's laws and Maxwell's equations are such theories. Newton's laws deal with mechanical phenomena; Maxwell's equations deal with electrical phenomena. Network theory is essentially a mathematical theory. The terms used in it can be given various physical meanings. The theory has interesting things to say about different physical phenomena, about mechanical as well as electrical vibrations.

Often a mathematical theory is the offshoot of a physical theory or of physical theories. It can be an elegant mathematical formulation and treatment of certain aspects of a general physical theory. Network theory is such a treatment of certain physical behavior common to electrical and mechanical devices. A branch of mathematics called potential theory treats problems common to electric, magnetic, and gravitational fields and, indeed, in a degree to aerodynamics. Some theories seem, however, to be more mathematical than physical in their very inception.

We use many such mathematical theories in dealing with the physical world. Arithmetic is one of these. If we label one of a group of apples, dogs, or men 1, another 2, and so on, and if we have used up just the first 16 numbers when we have labeled all members of the group, we feel confident that the group of objects can be divided into two equal groups each containing 8 objects (16 ÷ 2 = 8) or that the objects can be arranged in a square array of four parallel rows of four objects each (because 16 is a perfect square; 16 = 4 × 4). Further, if we line the apples, dogs, or men up in a row, there are 2,092,278,988,800 possible sequences in which they can be arranged, corresponding to the 2,092,278,-988, 800 different sequences of the integers 1 through 16. If we used up 13 rather than 16 numbers in labeling the complete collection of objects, we feel equally certain that the collection could not be divided into any number of equal heaps, because 13 is a prime number and cannot be expressed as a product of factors.

This seems not to depend at all on the nature of the objects. Insofar as we can assign numbers to the members of any collection of objects, the results we get by adding, subtracting, multiplying, and dividing numbers or by arranging the numbers in sequence hold true. The connection between numbers and collections of objects seems so natural to us that we may overlook the fact that arithmetic is itself a mathematical theory which can be applied to nature only to the degree that the properties of numbers correspond to properties of the physical world.

Physicists tell us that we can talk sense about the total number of a group of elementary particles, such as electrons, but we can't assign particular numbers to particular particles because the particles are in a very real sense indistinguishable. Thus, we can't talk about arranging such particles in different orders, as numbers can be arranged in different sequences. This has important consequences in a part of physics called statistical mechanics. We may also note that while Euclidean geometry is a mathematical theory which serves surveyors and navigators admirably in their practical concerns, there is reason to believe that Euclidean geometry is not quite accurate in describing astronomical phenomena.

How can we describe or classify theories? We can say that a theory is very narrow or very general in its scope. We can also distinguish theories as to whether they are strongly physical or strongly mathematical. Theories are strongly physical when they describe very completely some range of physical phenomena, which in practice is always limited. Theories become more mathematical or abstract when they deal with an idealized class of phenomena or with only certain aspects of phenomena. Newton's laws are strongly physical in that they afford a complete description of mechanical phenomena such as the motions of the planets or the behavior of a pendulum. Network theory is more toward the mathematical or abstract side in that it is useful in dealing with a variety of idealized physical phenomena. Arithmetic is very mathematical and abstract; it is equally at home with one particular property of many sorts of physical entities, with numbers of dogs, numbers of men, and (if we remember that electrons are indistinguishable) with numbers of electrons. It is even useful in reckoning numbers of days.

In these terms, communication theory is both very strongly mathematical and quite general. Although communication theory grew out of the study of electrical communication, it attacks problems in a very abstract and general way. It provides, in the bit, a universal measure of amount of information in terms of choice or uncertainty. Specifying or learning the choice between two equally probable alternatives, which might be messages or numbers to be transmitted, involves one bit of information. Communication theory tells us how many bits of information can be sent per second over perfect and imperfect communication channels in terms of rather abstract descriptions of the properties of these channels. Communication theory tells us how to measure the rate at which a message source, such as a speaker or a writer, generates information. Communication theory tells us how to represent, or encode, messages from a particular message source efficiently for transmission over a particular sort of channel, such as an electrical circuit, and it tells us when we can avoid errors in transmission.


(Continues...)

Excerpted from An Introduction to Information Theory by John R. Pierce. Copyright © 1980 John R. Pierce. Excerpted by permission of Dover Publications, Inc..
All rights reserved. No part of this excerpt may be reproduced or reprinted without permission in writing from the publisher.
Excerpts are provided by Dial-A-Book Inc. solely for the personal use of visitors to this web site.

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Table of Contents

0. Preface to the Dover Edition
1. The World and Theories
2. The Origins of Information Theory
3. A Mathematical Model
4. Encoding and Binary Digits
5. Entropy
6. Language and Meaning
7. Efficient Encoding
8. The Noisy Channel
9. Many Dimensions
10. Information Theory and Physics
11. Cybernetics
12. Information Theory and Psychology
13. Information Theory and Art
14. Back to Communication Theory
Appendix: On Mathematical Notation
Glossary
Index
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