Model engineering is an important activity within the design flow of in- grated circuits and signal . The Springer International Series in Engineering and Computer Science. Authors: Huss, Sorin Alexander.
Model engineering is an important activity within the design flow of in- grated circuits and signal processing systems. This activity is not new at all in computer engineering, however, and takes a central role in practice. Model Engineering in Mixed-Signal Circuit Design.
FREE shipping on qualifying offers.
Sorin Alexander Huss. Download (pdf, . 0 Mb) Donate Read
Sorin Alexander Huss. 0 Mb) Donate Read. Epub FB2 mobi txt RTF. Converted file can differ from the original. If possible, download the file in its original format.
Items related to Model Engineering in Mixed-Signal Circuit Design: . .Bibliographic Details. Title: Model Engineering in Mixed-Signal Circuit. Bookseller: Revaluation Books Address: Exeter, United Kingdom AbeBooks Bookseller Since: January 6, 2003.Sorin Alexander Huss. ISBN 10: 144194933X, ISBN 13: 9781441949332. Publisher: Springer US. Publication Date: 2002.
Choose file format of this book to download: pdf chm txt rtf doc. Download this format book.
Circuit design with VHDL, by: Pedroni, Volnei A. Published: (2004).
Building the behavioral model for each circuit is an efficient approach for mixed-signal system verification. For some popular circuit blocks, dedicated behavioral model generators are developed to obtain the corresponding models directly from the given specifications. For generic circuit blocks, a divide and conquer approach is proposed to extract the required behavioral models from the given circuit netlist.
the extraction of model parameters, and modelling methodologies for accurate high-level behavioural models.
For the first time, this up-to-date text combines the main issues of the hardware description language VHDL-AMS aimed at model representation of mixed-signal circuits and systems, characterization methods and tools for the extraction of model parameters, and modelling methodologies for accurate high-level behavioural models.