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In den WarenkorbTaschenbuch. Zustand: Neu. Trellis Decoding of Block Codes | A Practical Approach | Bahram Honary (u. a.) | Taschenbuch | xviii | Englisch | 2012 | Springer | EAN 9781461378822 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Verlag: Kluwer Academic Publishers, 1997
ISBN 10: 0792398602 ISBN 13: 9780792398608
Sprache: Englisch
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In den WarenkorbZustand: New. Trellis decoding of block codes has attracted attention from those working in the area of error-control coding. This book is suitable for use in information theory, error-control coding and electronics communications courses. It is also of interest to telecommunications companies, research and development organisations and defence contractors. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 265 pages, biography. BIC Classification: GPFC; T; UN. Category: (XV) Technical / Manuals. Dimension: 234 x 156 x 17. Weight in Grams: 581. . 1997. Hardback. . . . . Books ship from the US and Ireland.
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - It is a great pleasure to be asked to write the Preface for this book on trellis decoding of error correcting block codes. The subject is extremely significant both theoretically and practically, and is very timely because of recent devel opments in the microelectronic implementation and range of application of error-control coding systems based on block codes. The authors have been notably active in signal processing and coding research and development for several years, and therefore very well placed to contribute to the state of the art on the subject of trellis decoding. In particular, the book represents a unique approach to many practical aspects of the topic. As the authors point out, there are two main classes of error control codes: block codes and convolutinal codes. Block codes came first historically and have a well-developed mathematical structure. Convolutional codes come later, and have developed heuristically, though a more formal treatment has emerged via recent developments in the theory of symbolic dynamics. Max imum likelihood (ML) decoding of powerful codes in both these classes is computationally complex in the general case; that is, ML decoding fails into the class of NP-hard computational problems. This arieses because the de coding complexity is an exponential function of key parameters of the code.