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- #The basic principles of digital techniques full#
- #The basic principles of digital techniques verification#
- #The basic principles of digital techniques code#
The traditional training of new verification engineers has to be adapted to the new situation.
#The basic principles of digital techniques full#
Moreover, it becomes an increasingly difficult task for a team of human designers to carry out a full design without errors. It is not only more important to get error-free designs. With the chip complexity constantly increasing, the difficulty as well as the importance of functional verification of new product designs has been increased. This shows that verifying logical correctness of the design of hardware systems is a major gate to the problem of time-to-market. For example, nowadays about 60% to 80% of the overall design time is spent for verification. All these facts are reflected by developing and production statistics of present day companies. Thus, it is desirable to detect design errors early in the design process and not just after producing the prototype chip. Moreover, it is nearly impossible to repair integrated circuits.
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The design and production process of present day VLSI-circuits is highly time- and cost-intensive. In addition, economic reasons underline this demand as well. Hence, the demand for error-free designs is more important than ever. Complex digital systems control airplanes, have been used in banks and on intensive-care units. Very large scale integrated (VLSI) circuits and the resulting digital systems have conquered a place in almost all areas of our life, even in security sensitive applications. In today's design processes it becomes more and more important. Hardware verification is the process of checking whether a design conforms to its specification of functionality. The present book is designed as a textbook covering one of the most important aspects in the verification process – equivalence checking of Boolean circuits.
#The basic principles of digital techniques code#
Features: practical examples and carefully constructed chapter-ending exercises real implementations, concise mathematical notation, and precise algorithmic descriptions designed for programmers and practitioners easily adaptable Java code and completely worked-out examples for easy inclusion in existing applications uses ImageJ provides a supplementary website with the complete Java source code, test images, and corrections additional presentation tools for instructors including a complete set of figures, tables, and mathematical elements. This volume builds upon the introductory material presented in the first two volumes with additional key concepts and methods in image processing. This textbook is the third of three volumes which provide a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and concrete implementations of the most important techniques. Publisher: Springer Science & Business Media