A readable introduction to the foundations and applications for information theory. The author includes a generous dose of the basic mathematical, physical and engineering concepts required and demonstrates their links. Enhanced by an appendix of BASIC and "C" program routines, topics covered are outlined in early chapters, and developed later in the book using analogies such as how CDs record and transmit sound.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Designed both as an accessible reference for practising scientists and engineers and as a text for lecturers teaching physics and electrical engineering programmes.
ISBN-13
978-0-7503-0308-8 (9780750303088)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Klassifikation
Preface. Where does information come from?: Introduction; What is information?; Accuracy and resolution. Signals and messages: Sending information; How much information in a message? Noise: The sources of noise; Johnson noise; Shot noise; An alternative way to describe noise; Other sorts of noise. Uncertain measurements: Doubtful information and errors. Surprises and redundancy. Detecting and correcting mistakes: Errors and the law! Parity and blocks; Choosing a code system. The sampling theorem: Fourier transforms and signals of finite length; The sampling theorem and signal reconstruction. The information carrying capacity of a channel: Signals look like noise; Shannon's equation; Choosing an efficient transmission system; Noise, quantisation and dither. The CD player as an information channel: The CD as an information channel; The CD encoding process. The CD player as a measurement system. Oversampling, noise shaping and digital filtering: The CD player as a digital signal processing system. Analog or digital? Is the world "analog"? The "digital" defects of the long-playing record. Sensors and amplifiers: Basic properties of sensors; Amplifier noise; Specifying amplifier noise. Power coupling and optimum S/N: Optimising signal/noise ratio; Behaviour of cascaded amplifiers and transmission lines. Signal averaging: Measuring signals in the presence of noise; The problems of simple averaging. Phase sensitive detection. Synchronous integration: "Boxcor" detection systems; Multiplexed and digital systems. Data compression: Run-length encoding; Huffman coding. Data thinning: DCC and magnetic tape; PASC and data reduction. Chaos rules: Driven nonlinear systems and bifurcations; Chaotic oscillators; Noise generators. Spies and secret messages: Substitution codes; One time pads; Mechanical "randomising" algorithms; Electronic encryption. One bit more: Problems with many bits; One bit at a time; From many to one; First order delta-sigma conversion; One last bit of chaos! Appendices: Solutions to numerical questions. Programs. Index.
