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【分享】Information Systems and Data Compression.Jerzy A. Seidler.Kluwer.1997[Ne
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Information Systems and Data Compression 本资源来自于互联网，仅供学习研究之用，不可涉及任何商业用途，请在下载后24小时内删除。 著作权归原作者或出版社所有。未经发贴人conanwj许可，严禁任何人以任何形式转贴本文，违者必究！ Authors Jerzy A. Seidler Publisher:Kluwer Pub Date: 1997 Pages: 488 PREFACE The systems for information acquisition, transmission, storage, and processing are crucial for functioning and growth of today's society. Typical of such systems are ? measurement and identification systems acquiring information about properties (mechanical, thermal, electrical, optical, chemical, economical, etc.) of objects; ? systems for transmission of information (data, speech, music, images); ? systems for information storage (primary magnetic, optic storage systems, systems for storage of structured information, data banks); ? systems for simplification of structured information (information compression, extraction of features), and ? systems transforming information according to given algorithms. The specific character of primary information, of the tasks, and of the technologies used, caused these information systems to develop quite independently in their early stages. However, during the last two decades a strong trend has emerged for integration of those systems on operational, implementation, and design levels. First, there is a tendency to physically integrate various information systems into one large system. Typical examples are integrated systems for data acquisition, transmission, and storage, integrated systems for data, voice, and image processing, surveillance, and remote sensing systems. Second, there is a trend to unify the implementation. The progress of solid state technology has allowed standardized devices for digital signal processing. Third, the transfer of concepts developed primarily for specific types of information systems has become very intensive. Interest has been growing in all areas of information processing and transmission in such concepts as optimization, adaptation, learning, and resources sharing. This in turn makes the design philosophies to become similar (coupling of analytical and simulation techniques, computed aided design, and countermeasures against indeterminate events). This book is concerned with the third trend. It has two objectives. The first is to analyze the concept of information and to develop a universal methodology of intelligent information system design. The second objective is to provide a solid basis for the design of systems for compression of digital data, processes, and images. The combination of the two objectives has two purposes. First, since almost all basic techniques of information processing are used in systems compressing information, they are a representative example of information systems. Second, in all types of information systems we have information compressing subsystems. Often these subsystems are essential for the overall performance of the whole system. The basic idea of this book is to look at an information system as a system imbedded between a superior system, for which the information system renders its services, and the environment in which the superior system operates (see Figure 1.1, page 5). Information is used by the superior system to match its operation to the state of its environment. An information system itself is in a similar situation as the superior system. The efficiency of information system's operation can be improved without increasing its material resources, if in the processing of information destined to the superior system, the information system uses auxiliary information about its environment. Such information systems are called intelligent and their analysis is the central topic of this book. A consequence of considering the information system as a component of a larger system is to emphasize the relationships between the methods of designing information systems with methods used in other sciences. The localization of topics presented in this book on the map of sciences is shown in Figure 1.28, page 65. The book consists of three parts. The first part (Chapter 1 and 2) presents the basic ideas in an informal and concise manner. Part two (Chapters 3, 4, and 5) offers a physics-like description of the environment of an information system and of the transformations of information. The third part (Chapters 6,7, and 8) discusses optimization of an information system and matching its operation to the state of environment. Chapters 6 and 7 concentrate on systems compressing information. Methodology of formulating the optimization problems, the methods of their solutions, and methods of analyzing the performance of information systems are presented in the synthesising Chapter 8. Much effort was made to present both the heuristic and analytic aspects of information systems design. The informal interpretations are formulated as separate comments. To present the analytic considerations in a rigorous but readable form, and to keep the size of the book within reasonable limits several techniques have been used: uniform terminology and notation, frequent use of geometrical interpretation, introducing new concepts with simple models and then generalizing them. Because the range of problems covered by the book is broad, a list of related publications would be very long. Therefore, for each topic only few selected publications are cited, usually in this sequence: introductory publications, textbooks, detailed studies, in particular collections of articles. As references for concrete procedure I have identified sources of relevant computer programs so that the reader can experiment with the algorithms. A course emphasizing the relationships between the information system, its environment, and the superior system to which the information system renders its services is missing in most curriculums. Also, common features of various types of information systems are rarely discussed. This book can help to bridge such gaps in two ways. A synthesising course for undergraduate students of electronic engineering, communications, and computer sciences can be based on the first part of the book. All of the material can be used for a course on theory of information systems for graduate students of mentioned specializations. This book can also be interesting for students working on their theses in the area of information compression or intelligent information system design. The synthesizing approach makes the book useful for system analysts and engineers developing the various types of information systems listed on page xv, especially for those interested with transfer of concepts developed for various types of information systems. The material is presented in an autonomous way so that the reader can go through the book without reaching for several other books. However, to profit fully from the book the reader should be familiar with the fundamental concepts of system theory and its basic mathematical tools as optimization theory or probability theory. Some knowledge of decision theory would be also desirable. ACKNOWLEDGEMENTS Several concepts presented here emerged in discussions with students and colleagues during seminars in the Aloha Systems Laboratory at the University of Hawaii led by Dr Norman Abramson, in the Communication Systems Laboratory at University of Kansas led by Dr David Frost, and in the Mathematical Institute of the Salzburg University directed by Prof Dr Peter Zinterhof. I am also very thankful to Dr J.M. Zurada, director of the VLSI Circuit Design Laboratory at the University of Louisville, for his help in preparing this book. A preliminary review of the material presented in Chapter 1 and in Section 8.6.2 has been published by the Austrian Computer Society'. The comments of Prof Dr Veith Risak from Siemens Research Laboratories in Vienna on this publication contributed to the present form of this material. I am also greatly indebted to Prof Dr Karl Josef Parisot from the Salzburg University for his advice and help in preparing a camera ready copy of the manuscript. Finally, I owe a special debt of gratitude to my publisher and editor. Jerzy A. Seidler May 13, 1997 本资源共8个可选网络硬盘链接，23.50 MB，保质期2009-08-30。 ---------------------------------------------------------------------------- Information Systems and Data Compression.Jerzy A. Seidler.Kluwer.1997.pdf Information Systems and Data Compression.Jerzy A. Seidler.Kluwer.1997.pdf Information Systems and Data Compression.Jerzy A. Seidler.Kluwer.1997.pdf Information Systems and Data Compression.Jerzy A. Seidler.Kluwer.1997.pdf Information Systems and Data Compression.Jerzy A. Seidler.Kluwer.1997.pdf Information Systems and Data Compression.Jerzy A. Seidler.Kluwer.1997.pdf Information Systems and Data Compression.Jerzy A. Seidler.Kluwer.1997.pdf Information Systems and Data Compression.Jerzy A. Seidler.Kluwer.1997.pdf ---------------------------------------------------------------------------- |
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