High-Frequency Characterization of Electronic Packaging
Luc Martens
ନଭେମ୍ବର 2013 · Electronic Packaging and Interconnects 1 ବହି · Springer Science & Business Media
ଇବୁକ୍
158
ପୃଷ୍ଠାଗୁଡ଼ିକ
reportରେଟିଂ ଓ ସମୀକ୍ଷାଗୁଡ଼ିକୁ ଯାଞ୍ଚ କରାଯାଇନାହିଁ ଅଧିକ ଜାଣନ୍ତୁ
ଏହି ଇବୁକ୍ ବିଷୟରେ
High-Frequency Characterization of Electronic Packaging will be of interest to researchers and designers of high-frequency electronic packaging. Understanding high-frequency behavior of packaging is of growing importance due to higher clock-speeds in computers and higher data transmission rates in broadband telecommunication systems. Basic knowledge of the high-frequency behavior of packaging and interconnects is, therefore, indispensable for the design of future telecommunication and computer systems.
High-Frequency Characterization of Electronic Packaging gives the reader an insight into how high-frequency characterization of electronic packaging should be done and describes the problems that have to be tackled, especially in performing accurate measurements on modern IC-packages and in determination of circuit models.
High-Frequency Characterization of Electronic Packaging is conceived as a comprehensive guide for the start of research and to help in performing high-frequency measurements. Important notions in high- frequency characterization such as S-parameters, calibration, probing, de-embedding and measurement-based modeling are explained. The described techniques are illustrated with several up-to-date examples.
High-Frequency Characterization of Electronic Packaging gives the reader an insight into how high-frequency characterization of electronic packaging should be done and describes the problems that have to be tackled, especially in performing accurate measurements on modern IC-packages and in determination of circuit models.
High-Frequency Characterization of Electronic Packaging is conceived as a comprehensive guide for the start of research and to help in performing high-frequency measurements. Important notions in high- frequency characterization such as S-parameters, calibration, probing, de-embedding and measurement-based modeling are explained. The described techniques are illustrated with several up-to-date examples.
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