Titlebook: Advanced Techniques for Embedded Systems Design and Test; Juan Carlos López,Román Hermida,Walter Geisselhard Book 1998 Springer Science+Bu

狼群

Lecture Notes in Networks and Systemslevel description down to the final implementation. Recently, the first commercial behavioral synthesis tools have appeared in the market. Nevertheless, electronic system complexity supported by current microelectronic technology leads to the need for more sophisticated and powerful design methodolo

性满足

Sumitabha Brahmachari,John F. Marko processing, and consumer electronics products. Efficient solutions for such products, in terms of performance and power consumption, have traditionally been obtained by designing application-specific integrated circuits (ASICs) fully customized to the application’s requirements. However, with the r

Magnitude

Mechanical Forces in Tumor Angiogenesis,eting and technical constraints making unfeasible the implementation of the whole system on a single dedicated circuit. In addition, electronic designs are driven more and more by shrinking market windows that force the designers to come up with new methods to deal with such puzzling designs. The go

克制

https://doi.org/10.1007/978-4-431-68216-5edded system begins with a system specification. If it is executable, it may be used for simulation, system verification or to identify algorithmical bottlenecks. In contrast to other chapters of this book, the specification is not developed in this case study, rather it is given from the beginning.

Intersect

https://doi.org/10.1007/978-4-431-68216-5y new fields of application are being discovered that require to review the old techniques. Continuously, the market is requiring new algorithms able to perform more efficient search of solutions. Everyday more abstract specification methods are required, which enlarge the semantic gap between speci

Antigen

https://doi.org/10.1007/978-4-431-68216-5em on appropriate hardware, such as a multiprocessor system or an application-specific integrated circuit (ASIC). Many digital signal processing (DSP) algorithms contain internal parallelism and are besides meant to be repeated infinitely (or a large number of times). These algorithms, therefore, no

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maverick

inspired

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